Python Deep Learning

TFX TensorFlow Extended (TFX) is a Google-production-scale machine learning platform based on TensorFlow. It provides a configuration framework to express ML pipelines consisting of TFX components. TFX pipelines can be orchest

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The Deep Learning Book - Goodfellow, I., Bengio, Y., and Courville, A. (2016) This content is part of a series following the chapter 2 on linear algebra from the Deep Learning Book by Goodfellow, I., Bengio, Y., and Courville, A. (2016).

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Graph Deep Learning Lab
Benchmarking Graph Neural Networks

graphdeeplearning/benchmarking-gnns

Repository for benchmarking graph neural networks

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Multicore t-SNE This is a multicore modification of Barnes-Hut t-SNE by L. Van der Maaten with python and Torch CFFI-based wrappers. This code also works faster than sklearn.TSNE on 1 core. What to expect Barnes-Hu

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Neural Tangents [ICLR 2020] Paper | Quickstart | Install guide | Reference docs News: Neural Tangents just got faster! >4X speedup in computing analytic kernels for CNN architectures with pooling, starting from vers

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SfMLearner This codebase implements the system described in the paper: Unsupervised Learning of Depth and Ego-Motion from Video Tinghui Zhou, Matthew Brown, Noah Snavely, David G. Lowe In CVPR 2017 (Oral). See the project web

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Neorg - An Organized Future Life Organization Tool Written in Lua Introduction • Installation • Usage • Keybinds • Wiki GIFS Credits: Logo by Binx The

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Deepvoice3_pytorch PyTorch implementation of convolutional networks-based text-to-speech synthesis models: arXiv:1710.07654: Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning. arXiv:1710.08969

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Reformer, the Efficient Transformer, in Pytorch This is a Pytorch implementation of Reformer https://openreview.net/pdf?id=rkgNKkHtvB It includes LSH attention, reversible network, and chunking. It has been validated with an

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Few-shot vid2vid Project | YouTube | arXiv Pytorch implementation for few-shot photorealistic video-to-video translation. It can be used for generating human motions from poses, synthesizing people talking from edg

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Ollie McCarthy
WaveRNN Vocoder + TTS

fatchord/WaveRNN

WaveRNN (Update: Vanilla Tacotron One TTS system just implemented - more coming soon!) Pytorch implementation of Deepmind's WaveRNN model from Efficient Neural Audio Synthesis Installation Ensure you have

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learn2learn is a PyTorch library for meta-learning implementations. The goal of meta-learning is to enable agents to learn how to learn. That is, we would like our agents to become better learners as they solve more and more tasks. F

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Curated List of Self-Driving Cars and Autonomous Vehicles Resources

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Portfolio analytics for quants, written in Python

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Ilia Karmanov
Demo of running NNs across different frameworks

ilkarman/DeepLearningFrameworks

Deep Learning Framework Examples For more details check out our blog-post Goal Create a Rosetta Stone of deep-learning frameworks to allow data-scientists to easily leverage their expertise from one framework t

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Tesla, Inc.
Tesla Light Show

teslamotors/light-show

Tesla Light Show xLights Guide Welcome to the Tesla Light Show xLights guide! You can create and run your own light shows on Tesla vehicles. Running a

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Haiku: Sonnet for JAX Overview | Why Haiku? | Quickstart | Installation | Examples | User manual | Documentation | Citing Haiku What is Haiku? Haiku is a simple neural network library for JAX developed by some of the authors

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DeepFashion2 Dataset DeepFashion2 is a comprehensive fashion dataset. It contains 491K diverse images of 13 popular clothing categories from both commercial shopping stores and consumers. It totally has 801K clothing clothing i

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Lip Reading - Cross Audio-Visual Recognition using 3D Convolutional Neural Networks - Official Project Page This repository contains the code developed by TensorFlow for the following paper: 3D Convolutional Neu

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Pytorch Forecasting aims to ease timeseries forecasting with neural networks for real-world cases and research alike. Specifically, the package provides

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Artur Suilin
1st place solution

Arturus/kaggle-web-traffic

Kaggle Web Traffic Time Series Forecasting 1st place solution Main files: make_features.py - builds features from source data input_pipe.py - TF data preprocessing pipeline (assembles features into training/evaluation te

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SparrowRecSys是一个电影推荐系统,名字SparrowRecSys(麻雀推荐系统),取自“麻雀虽小,五脏俱全”之意。项目是一个基于maven的混合语言项目,同时包含了Spark,Jetty Server,TensorFlow等推荐系统的不同模块。

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New videos! Traffic counting with YOLO v3 First step to ADAS with YOLO v4 Multitarget (multiple objects) tracker 1. Objects detector can be created with function CreateDetector with differen

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在我很多项目中用到的CV算法推理框架应用。

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Intro This is the code for this video on Youtube by Siraj Raval Real-time object detection and classification. Paper: version 1, version 2. Read more about YOLO (in darknet) and download weight files here. In case the weight

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Disco - Massive data, Minimal code Disco is a distributed map-reduce and big-data framework. Like the original framework, which was publicized by Goog

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Graph Analysis & Deep Learning Laboratory, GRAND
Paper Lists for Graph Neural Networks

GRAND-Lab/Awesome-Graph-Neural-Networks

Awesome resources on Graph Neural Networks. This is a collection of resources related with graph neural networks. Contents Survey papers Papers Recuurent Graph Neural Networks Convolutional Graph Neur

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A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

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Dynamic Routing Between Capsules A barebones CUDA-enabled PyTorch implementation of the CapsNet architecture in the paper "Dynamic Routing Between Capsules" by Kenta Iwasaki on behalf of Gram.AI. Training for the model is done u

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model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net);2、 pruning: normal、regular and group convolutional channel pruning;3、 group convolution structure;4、batch-normalization folding for quantization)

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Yolo_mark Windows & Linux GUI for marking bounded boxes of objects in images for training Yolo v3 and v2 To compile on Windows open yolo_mark.sln in MSVS2013/2015, compile it x64 & Release and run the file: x64/Relea

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Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

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PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

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Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch. ?

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Overview jellyfish is a library for approximate & phonetic matching of strings. Source: https://github.com/jamesturk/jellyfish Documentation: https://

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Determined: Deep Learning Training Platform Determined helps deep learning teams train models more quickly, easily share GPU resources, and effectively collaborate. Determined allows deep learning engineers to focus on building and

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tinfoleak The most complete open-source tool for Twitter intelligence analysis Introduction tinfoleak is an open-source tool within the OSINT (Open Source Intelligence) and SOCMINT (Social Media Intelligence) discipl

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Robotics and Perception Group
Event-based Vision Resources

uzh-rpg/event-based_vision_resources

Event-based Vision Resources Table of Contents: Devices and Manufacturers Companies working on Event-based Vision Neuromorphic Systems Algorithms Feature Detection and Tracking

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Frank
Awesome Knowledge-Distillation

FLHonker/Awesome-Knowledge-Distillation

Awesome Knowledge-Distillation Awesome Knowledge-Distillation Different forms of knowledge Knowledge from logits Knowledge from intermediate layers Graph-based Mutual Information S

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100 pandas puzzles Puzzles notebook Solutions notebook Inspired by 100 Numpy exerises, here are 100* short puzzles for testing your knowledge of pandas' power. Since pandas is a large library with many diff

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AI Fairness 360 (AIF360) The AI Fairness 360 toolkit is an extensible open-source library containg techniques developed by the research community to help detect and mitigate bias in machine learning models throughout the AI a

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UNet++: A Nested U-Net Architecture for Medical Image Segmentation UNet++ is a new general purpose image segmentation architecture for more accurate image segmentation. UNet++ consists of U-Nets of varying depths whose decoders a

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SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

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Labelbox Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications. This github repository is about building custom interfaces on the Labelbox platform. Labelbox Platform

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Long Chen
Faster RCNN with PyTorch

longcw/faster_rcnn_pytorch

Faster RCNN with PyTorch Note: I re-implemented faster rcnn in this project when I started learning PyTorch. Then I use PyTorch in all of my projects. I still remember it costed one week for me to figure out how to build cuda cod

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Deep AutoEncoders for Collaborative Filtering This is not an official NVIDIA product. It is a research project described in: "Training Deep AutoEncoders for Collaborative Filtering"(https://arxiv.org/abs/1708.01715) The model

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CompreFace is a free face recognition service that can be easily integrated into any system without prior machine learning skills.

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TSM: Temporal Shift Module for Efficient Video Understanding [Website] [arXiv][Demo] @inproceedings{lin2019tsm, title={TSM: Temporal Shift Module for Efficient Video Understanding}, author={Lin, Ji and Gan, Chuang and Han, So

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Mike Izbicki
Homomorphic machine learning

mikeizbicki/HLearn

HLearn HLearn is a high performance machine learning library written in Haskell. For example, it currently has the fastest nearest neighbor implementa

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null
difficult algorithm, simple code.

YunYang1994/TensorFlow2.0-Examples

?TensorFlow2.0-Examples?! "Talk is cheap, show me the code." ----- Linus Torvalds Created by YunYang1994 This tutorial was designed for easily diving into TensorFlow2.0. it includes both notebooks a

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Meta Research
Submanifold sparse convolutional networks

facebookresearch/SparseConvNet

Submanifold Sparse Convolutional Networks This is the Torch/PyTorch library for training Submanifold Sparse Convolutional Networks. If you find this code useful in your research then please cite: Submanifold Sparse Convolutional

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NeuroNER NeuroNER is a program that performs named-entity recognition (NER). Website: neuroner.com. This page gives step-by-step instructions to install and use NeuroNER. Table of Contents Requirements Install

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Kin-Yiu, Wong
PyTorch implementation of YOLOv4

WongKinYiu/PyTorch_YOLOv4

PyTorch implementation of YOLOv4

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RecBole is developed based on Python and PyTorch for reproducing and developing recommendation algorithms in a unified, comprehensive and efficient framework for research purpose.

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QTPyLib, Pythonic Algorithmic Trading QTPyLib (Quantitative Trading Python Library) is a simple, event-driven algorithmic trading library written in Python, that supports backtesting, as well as paper and live

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HiddenLayer A lightweight library for neural network graphs and training metrics for PyTorch, Tensorflow, and Keras. HiddenLayer is simple, easy to extend, and works great with Jupyter Notebook. It's not intended to replace adva

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The Project is real time application in opencv using first order model

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ONNX.js ONNX.js is a Javascript library for running ONNX models on browsers and on Node.js. ONNX.js has adopted WebAssembly and WebGL technologies for providing an optimized ONNX model inference runtime for both CPUs and

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Universal Data Tool Try it out at universaldatatool.com or download it here. The Universal Data Tool is a web/desktop app for editing and annotating images, text, audio, documents and to view and edit any data defined in

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Using python to work with time series data The python ecosystem contains different packages that can be used to process time series. The following list is by no means exhaustive, feel free to edit the list (will propose a file c

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Testbed for Reinforcement Learning / AI Bots in Card (Poker) Games

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Discovering Interpretable GAN Controls [NeurIPS 2020]

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auto_ml Automated machine learning for production and analytics Installation pip install auto_ml Getting started from auto_ml import Predictor from au

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Updates Update 22/01/2020 You may be interested in following my new Youtube channel for weekly videos about Computer Vision, Machine Learning, Deep Learning, and Robotics. Update 16/07/2019 Stable version of Deepgaze 2.0 is avai

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Deep Reinforcement Learning in TensorFlow TensorFlow implementation of Deep Reinforcement Learning papers. This implementation contains: [1] Playing Atari with Deep Reinforcement Learning [2] Human-Level Control through Deep Rei

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Modular Active Learning framework for Python3 Page contents Introduction Active learning from bird's-eye view modAL in action From zero to one in a few lines of code Replacing parts quickly Replacing

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A model-agnostic visual debugging tool for machine learning

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servant - A Type-Level Web DSL Getting Started We have a tutorial that introduces the core features of servant. After this article, you should be able

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Demo for the "Talking Head Anime from a Single Image."

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Holistically-Nested Edge Detection Created by Saining Xie at UC San Diego Introduction: We develop a new edge detection algorithm, holistically-nested edge detection (HED), which performs image-to-image prediction b

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Scotty A Haskell web framework inspired by Ruby's Sinatra, using WAI and Warp. {-# LANGUAGE OverloadedStrings #-} import Web.Scotty import Data.Monoi

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YOLO3 (Detection, Training, and Evaluation) Dataset and Model Dataset mAP Demo Config Model Kangaroo Detection (1 class) (https://github.com/experiencor/kangaroo) 95%

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Machine Learning Tokyo
Interactive Tools for Machine Learning, Deep Learning and Math

Machine-Learning-Tokyo/Interactive_Tools

Interactive Tools for ML, DL and Math Content CNN Explainer Play with GANs in the Browser ConvNet Playground Distill: Exploring Neural Networks with Activation Atlases A visual introduction to Machine Learni

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Deep Learning Gateway on Raspberry Pi And Other Edge Devices Supporting BerryNet Become a backer or sponsor on Open Collective. One-time donation via PayPal or crypto-currencies. Introduction This project tu

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Torchmeta A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch. Torchmeta contains popular meta-learning benchmarks, fully compatible with both torchvision and PyTorch's DataLoader.

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Lore Lore is a python framework to make machine learning approachable for Engineers and maintainable for Data Scientists. Features Models support hyper parameter search over estimators with a data pipeline

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Overview This is the official repo for the paper: NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion. NÜWA is a unified multimodal p

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This repository contains the source code for TensorFlow Privacy, a Python library that includes implementations of TensorFlow optimizers for training machine learning models with differential privacy. The library comes with tutorials and analysis tools for computing the privacy guarantees provided.

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Version control for machine learning

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Generative Pretraining from Pixels"

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Uber Research
Deep Neuroevolution

uber-research/deep-neuroevolution

AI Labs Neuroevolution Algorithms This repo contains distributed implementations of the algorithms described in: [1] Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Rei

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OpenNE: An open source toolkit for Network Embedding This repository provides a standard NE/NRL(Network Representation Learning)training and testing framework. In this framework, we unify the input and output interfaces of differ

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A tensorflow implementation of Google's MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

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PyTorch/XLA is a Python package that uses the XLA deep learning compiler to connect the PyTorch deep learning framework and Cloud TPUs. You can try it right now, for free, on a single Cloud TPU with Google Colab, and use it in production and on Cloud TPU Pods with Google Cloud.

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The list of vision-based SLAM / Visual Odometry open source projects, libraries, dataset, tools, and studies Index Libraries Dataset Tools Projects Learn Miscellaneous Libraries B

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Shapash is a Python library which aims to make machine learning interpretable and understandable by everyone. It provides several types of visualization that display explicit labels that everyone can understand.

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Table of Contents Quickstart Introduction Project Overview Data Evaluation Annotations Setup Data Details Data Acquisition Schema & Format Downloading Data from S3

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A tensor network wrapper for TensorFlow, JAX, PyTorch, and Numpy. For an overview of tensor networks please see the following: Matrices as Tensor Network Diagrams Crash Course in Tensor Networks (video) Hand-waving and int

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StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

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DreamQuark
PyTorch implementation of TabNet

dreamquark-ai/tabnet

This is a pyTorch implementation of Tabnet (Arik, S. O., & Pfister, T. (2019). TabNet: Attentive Interpretable Tabular Learning

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Sungjoon
Deep learning tutorials (2nd ed.)

sjchoi86/dl_tutorials

Deep learning tutorials Deep learning tutorials (2nd ed.) Week1 Deep learning intro. Python basics Let's play with images & MNIST Terminologies Week2 - Do you know deep learning? CNN and

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Real-time Hand-Detection using Neural Networks (SSD) on Tensorflow. This repo documents steps and scripts used to train a hand detector using Tensorflow (Object Detection API). As with any DNN based task, the most expensive (and

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pytorch-fcn PyTorch implementation of Fully Convolutional Networks. Requirements pytorch >= 0.2.0 torchvision >= 0.1.8 fcn >= 6.1.5 Pillow scipy tqdm Installation git clone https://github.com/w

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Atlas: End-to-End 3D Scene Reconstruction from Posed Images

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Sean Vasquez
Handwriting Synthesis with RNNs ✏️

sjvasquez/handwriting-synthesis

Handwriting Synthesis Implementation of the handwriting synthesis experiments in the paper Generating Sequences with Recurrent Neural Networks by Alex Graves. The implementation closely follows the original paper, with a few sl

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Kevin Hughes
self-driving MarioKart with TensorFlow

kevinhughes27/TensorKart

TensorKart self-driving MarioKart with TensorFlow Driving a new (untrained) section of the Royal Raceway: Driving Luigi Raceway: The model was trained with: 4 races on Luigi Raceway 2 races on Kalimari Desert 2 rac

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zhousheng
Methods and Implements of Deep Clustering

zhoushengisnoob/DeepClustering

Deep Clustering: methods and implements Survey Paper Conference Code A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture IEEE ACCESS 2018

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YOLOv3_TensorFlow 1. Introduction This is my implementation of YOLOv3 in pure TensorFlow. It contains the full pipeline of training and evaluation on your own dataset. The key features of this repo are: E

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Salesforce
IAM Least Privilege Policy Generator

salesforce/policy_sentry

Policy Sentry IAM Least Privilege Policy Generator. Tutorial Installation Package managers Shell completion Step 1: Create the Template Step 2: Copy/p

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Implementation of λ Networks, a new approach to image recognition that reaches SOTA on ImageNet. The new method utilizes λ layer, which captures interactions by transforming contexts into linear functions, termed lambdas, and applying these linear functions to each input separately.

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