Python Deep Learning

An Apache 2.0 NLP research library, built on PyTorch, for developing state-of-the-art deep learning models on a wide variety of linguistic tasks. Quickstart The fastest way to get an environment to run AllenNLP is with Docker.

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FastPhotoStyle License Copyright (C) 2018 NVIDIA Corporation. All rights reserved. Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode). What's new

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null
Pretrained models for TensorFlow.js

tensorflow/tfjs-models

Pre-trained TensorFlow.js models This repository hosts a set of pre-trained models that have been ported to TensorFlow.js. The models are hosted on NPM and unpkg so they can be used in any project out of the box. They can b

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Hoseong Lee
A paper list of object detection using deep learning.

hoya012/deep_learning_object_detection

A paper list of object detection using deep learning.

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Wifiphisher
The Rogue Access Point Framework

wifiphisher/wifiphisher

About Wifiphisher is a rogue Access Point framework for conducting red team engagements or Wi-Fi security testing. Using Wifiphisher, penetration test

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Logan Engstrom
TensorFlow CNN for fast style transfer ⚡

lengstrom/fast-style-transfer

Fast Style Transfer in TensorFlow Add styles from famous paintings to any photo in a fraction of a second! You can even style videos! It takes 100ms on a 2015 Titan X to style the MIT Stata Center (1024×680) like Udnie, b

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PRML Python codes implementing algorithms described in Bishop's book "Pattern Recognition and Machine Learning" Required Packages python 3 numpy scipy jupyter (optional: to run jupyter notebooks) matplotlib

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null
Play with neural networks!

tensorflow/playground

Deep playground Deep playground is an interactive visualization of neural networks, written in TypeScript using d3.js. We use GitHub issues for tracking new requests and bugs. Your feedback is highly appreciated! If you'd like t

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stanford-tensorflow-tutorials This repository contains code examples for the course CS 20: TensorFlow for Deep Learning Research. It will be updated as the class progresses. Detailed syllabus and lecture notes can be found h

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Microsoft
Old Photo Restoration (Official PyTorch Implementation)

microsoft/Bringing-Old-Photos-Back-to-Life

Bringing Old Photo Back to Life (CVPR 2020 oral)

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deep-photo-styletransfer Code and data for paper "Deep Photo Style Transfer" Disclaimer This software is published for academic and non-commercial use only. Setup This code is based on torch. It has been t

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Drench yourself in Deep Learning & Reinforcement Learning by learning from these exciting lectures!!

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bert-as-service Using BERT model as a sentence encoding service, i.e. mapping a variable-length sentence to a fixed-length vector. Author: Han Xiao https://hanxiao.github.io BERT code of this repo is forked from the origi

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Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

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Data Science Cheatsheets List of Data Science Cheatsheets to rule the world. Table of Contents Business Science Business Science Problem Framework Data Science with Python Workflow Data Science wit

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Neural Doodle Use a deep neural network to borrow the skills of real artists and turn your two-bit doodles into masterpieces! This project is an implementation of Semantic Style Transfer (Champandard, 2016), based on the Neur

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TFLearn: Deep learning library featuring a higher-level API for TensorFlow. TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow i

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MILA will stop developing Theano. To install the package, see this page: http://deeplearning.net/software/theano/install.html For the documentation, see the project website: http://deeplearning.net/so

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This repository contains implementations and illustrative code to accompany DeepMind publications

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一款入门级的人脸、视频、文字检测以及识别的项目.

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Ciphey is an automated decryption tool. Input encrypted text, get the decrypted text back.

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An open source vector similarity search engine powered by Faiss, NMSLIB and Annoy

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Sonnet Documentation | Examples Sonnet is a library built on top of TensorFlow 2 designed to provide simple, composable abstractions for machine learning research. Introduction Sonnet has been designed and built by

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RocAlphaGo (Previously known just as "AlphaGo," renamed to clarify that we are not affiliated with DeepMind) This project is a student-led replication/reference implementation of DeepMind's 2016 Nature publication, "Mastering th

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MIT Deep Learning This repository is a collection of tutorials for MIT Deep Learning courses. More added as courses progress. Tutorial: Deep Learning Basics This tutorial accompanies the lecture on Deep Learning B

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StyleGAN2 - Official TensorFlow Implementation

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TabNine This is the repository for the backend of TabNine, the all-language autocompleter. There are no source files here because the backend is closed source. You can make feature requests by filing an issue. You are also welco

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Machine learning algorithms A collection of minimal and clean implementations of machine learning algorithms. Why? This project is targeting people who want to learn internals of ml algorithms or implement them from s

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Python package built to ease deep learning on graph, on top of existing DL frameworks.

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GFPGAN (CVPR 2021) Colab Demo for GFPGAN ; (Another Colab Demo for the original paper model) We provide a clean version of GFPGAN, which can run witho

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Faster R-CNN and Mask R-CNN in PyTorch 1.0 This project aims at providing the necessary building blocks for easily creating detection and segmentation models using PyTorch 1.0. Highlights PyTorch 1.0:

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Vahid Kazemi
TensorFlow tutorials and best practices.

vahidk/EffectiveTensorflow

Effective TensorFlow Table of Contents Part I: TensorFlow Fundamentals TensorFlow Basics Understanding static and dynamic shapes Scopes and when to use them Broadcasting the good and the ugly Feed

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ParlAI (pronounced “par-lay”) is a framework for dialog AI research, implemented in Python. Its goal is to provide researchers: a unified framework for sharing, training and testing dialog models multi-task training over many dat

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Keras-GAN Collection of Keras implementations of Generative Adversarial Networks (GANs) suggested in research papers. These models are in some cases simplified versions of the ones ultimately described in the papers, but I ha

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Source code now lives in the PyTorch repository. Caffe2 Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity

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Master status: Development status: Package information: TPOT stands for Tree-based Pipeline Optimization Tool. Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machin

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Pretrained models for Pytorch (Work in progress) The goal of this repo is: to help to reproduce research papers results (transfer learning setups for instance), to access pretrained ConvNets with a unique interface/API insp

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null
Pose Animator

yemount/pose-animator/

Pose Animator Pose Animator takes a 2D vector illustration and animates its containing curves in real-time based on the recognition result from PoseNet and FaceMesh. It borrows the idea of skeleton-based animation from computer g

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Keras
An AutoML system based on Keras

keras-team/autokeras

Official Website: autokeras.com AutoKeras: An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras is to make machine learning accessible for everyone. Example Her

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Introduction This directory contains PyTorch YOLOv3 software developed by Ultralytics LLC, and is freely available for redistribution under the GPL-3.0 license. For more information please

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Hacker News API Overview In partnership with Firebase, we're making the public Hacker News data available in near real time. Firebase enables easy acc

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Pattern Pattern is a web mining module for Python. It has tools for: Data Mining: web services (Google, Twitter, Wikipedia), web crawler, HTML DOM parser Natural Language Processing: part-of-speech taggers, n-gram sear

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Hello, world! ? We've rebuilt data engineering for the data science era. Prefect is a new workflow management system, designed for modern infrastructure and powered by the open-source Prefect Cor

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Ludwig is a toolbox built on top of TensorFlow that allows users to train and test deep learning models without the need to write code. All you need to provide is a CSV file containing your data, a list of columns to use as inputs, and a

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Open Machine Learning course mlcourse.ai, both in English and Russian

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youtube-dlG A cross platform front-end GUI of the popular youtube-dl media downloader written in wxPython. Supported sites Screenshots Requirements Py

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Cloud Native Landscape Cloud Native Landscape Trail Map Interactive Version New Entries Logos SVGs with Embedded Text Corrections External Data Best P

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vid2vid Project | YouTube(short) | YouTube(full) | arXiv | Paper(full) Pytorch implementation for high-resolution (e.g., 2048x1024) photorealistic video-to-video translation. It can be used for turning semantic lab

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labelme: Image Annotation Tool with Python Labelme is a graphical image annotation tool inspired by http://labelme.csail.mit.edu. It is written in Python and uses Qt for its graphical interface. Requirements Ubuntu /

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Introduction PySyft is a Python library for secure, private Deep Learning. PySyft decouples private data from model training, using Federated Learning, Differential Privacy, and Multi-Party Computation (MPC) within PyTorch.

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Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment.

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Ashish Patel
500 AI Machine learning Deep learning Computer vision NLP Projects with code

ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

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Install • Quick Start • Demo Video • Docs • Examples • FAQ • Gitter Machine learning infrastructure for developers: build machine learning applications faster. Cortex is an open-source platform for building, deploying, and mana

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Awesome Security A collection of awesome software, libraries, documents, books, resources and cool stuff about security. Inspired by awesome-php, awes

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Yandex School of Data Analysis
YSDA course in Natural Language Processing

yandexdataschool/nlp_course

YSDA Natural Language Processing course This is the 2019 version. For previous year' course materials, go to this branch Lecture and seminar materials for each week are in ./week* folders YSDA homework deadlines will be l

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Lists List of useful, silly and awesome lists curated on GitHub. Contributions welcome! ✨ Now also available in CSV! ✨ Lists Non-technical Technical a

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Open Deep Learning Compiler Stack Documentation | Contributors | Community | Release Notes Apache TVM (incubating) is a compiler stack for deep learning systems. It is designed to close the gap between the productivity-focus

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py-faster-rcnn has been deprecated. Please see Detectron, which includes an implementation of Mask R-CNN. Disclaimer The official Faster R-CNN code (written in MATLAB) is available here. If your goal is to reproduce th

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Yuxuan (Tim) Zhang
A resource repository for 3D machine learning

timzhang642/3D-Machine-Learning

3D Machine Learning In recent years, tremendous amount of progress is being made in the field of 3D Machine Learning, which is an interdisciplinary field that fuses computer vision, computer graphics and machine learning. This re

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PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization (CVPR 2020)

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NVIDIA Corporation
Deep Learning Examples

NVIDIA/DeepLearningExamples

NVIDIA Deep Learning Examples for Tensor Cores Introduction This repository provides the latest deep learning example networks for training. These examples focus on achieving the best performance and convergence from N

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Label Studio · · ☀️ Website • Docs • Twitter • Join Slack Community NEW Release 0.6.0: Nested & Per-Region Labeling, Filtering & Cueing the active labels, read the release notes. Label Studio is a swi

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Bug-tracking for Jeff's algorithms book, notes, etc.

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PySC2 - StarCraft II Learning Environment PySC2 is DeepMind's Python component of the StarCraft II Learning Environment (SC2LE). It exposes Blizzard Entertainment's StarCraft II Machine Learning API as a Python

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This repository has been deprecated in favor of the Retro (https://github.com/openai/retro) library. See our Retro Contest (https://blog.openai.com/retro-contest) blog post for detalis. universe Universe is a software platform

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Getting Started | Documentation | Community | Contributing Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch. Notably, it was designed with these principles in mind: Universal: Pyro is

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A curated list of references for MLOps

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Text Classification The purpose of this repository is to explore text classification methods in NLP with deep learning. Update: Language Understanding Evaluation benchmark for Chinese(CLUE benchmark): run 10 tasks &am

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tensorboardX Write TensorBoard events with simple function call. Support scalar, image, figure, histogram, audio, text, graph, onnx_graph, embedding, pr_curve, mesh, hyper-parameters and video summaries. requiremen

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The Social-Engineer Toolkit (SET) Copyright ©️ 2020 Written by: David Kennedy (ReL1K) @HackingDave Company: TrustedSec Description The Social-Engineer

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Depth-Aware Video Frame Interpolation (CVPR 2019)

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Trained image classification models for Keras THIS REPOSITORY IS DEPRECATED. USE THE MODULE keras.applications INSTEAD. Pull requests will not be reviewed nor merged. Direct any PRs to keras.applications. Issues are not monitore

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Warning! The optimization may not converge on some GPUs. We've personally experienced issues on Tesla V100 and P40 GPUs. When running the code, make sure you get similar results to the paper first. Easiest to check using text inpainting not

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DCGAN in Tensorflow Tensorflow implementation of Deep Convolutional Generative Adversarial Networks which is a stabilize Generative Adversarial Networks. The referenced torch code can be found here. Brandon Amos wrote an ex

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keras-yolo3 Introduction A Keras implementation of YOLOv3 (Tensorflow backend) inspired by allanzelener/YAD2K. Quick Start Download YOLOv3 weights from YOLO website. Convert the Darknet YOLO model

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Semantic Image Synthesis with SPADE Project page | Paper | Online Interactive Demo of GauGAN | GTC 2019 demo | Youtube Demo of GauGAN Semantic Image Synthesis with Spatially-Adaptive Normalization. Taesung Park, M

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What is Vaex? Vaex is a high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular data

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TensorLayer is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extensive collection of customizable neural layers to build advanced AI mo

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ImageAI (v2.1.5) An open-source python library built to empower developers to build applications and systems with self-contained Deep Learning and Computer Vision capabilities using simple and few lines of code. If you w

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Trax — Deep Learning with Clear Code and Speed Trax is a library for deep learning that focuses on sequence models and reinforcement learning. It combines performance with code clarity and maintained documentation and te

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Luke Melas-Kyriazi
A PyTorch implementation of EfficientNet

lukemelas/EfficientNet-PyTorch

EfficientNet PyTorch Quickstart Install with pip install efficientnet_pytorch and load a pretrained EfficientNet with: from efficientnet_pytorch import EfficientNet model = EfficientNet.from_pretrained('efficientnet

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Computer Vision Annotation Tool (CVAT) CVAT is free, online, interactive video and image annotation tool for computer vision. It is being used by our team to annotate million of objects with different properties. Many UI a

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Generative Models Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow. Also present here are RBM and Helmholtz Machine. Note: Generated samples will be stored in GAN/{gan_model}/out (or VAE/{vae_m

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A Faster Pytorch Implementation of Faster R-CNN Introduction ? Good news! This repo supports pytorch-1.0 now!!! We borrowed some code and techniques from maskrcnn-benchmark. Just go to pytorch-1.0 bra

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object-detection [TOC] This is a list of awesome articles about object detection. If you want to read the paper according to time, you can refer to Date. R-CNN Fast R-CNN Faster R-CNN Mask R-CNN Light-Head R-CNN Ca

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Grokking Algorithms This is the code in my book Grokking Algorithms. Also check out Python Tutor, a great website that helps you step through Python code line by line. Errata Here's the errata page. Images

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Status: Maintenance (expect bug fixes and minor updates) Welcome to Spinning Up in Deep RL! This is an educational resource produced by OpenAI that makes it easier to learn about deep reinforcement learning (deep RL). For the u

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Chip Huyen
A booklet on machine learning systems design with exercises

chiphuyen/machine-learning-systems-design

Machine Learning Systems Design This booklet covers four main steps of designing a machine learning system: Project setup Data pipeline Modeling: selecting, training, and debugging Serving: testing, deploying, and maint

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Erik Linder-Norén
Minimal PyTorch implementation of YOLOv3

eriklindernoren/PyTorch-YOLOv3

PyTorch-YOLOv3 A minimal PyTorch implementation of YOLOv3, with support for training, inference and evaluation. Installation Clone and install requirements $ git clone https://github.com/eriklindernoren/PyT

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NuPIC Numenta Platform for Intelligent Computing The Numenta Platform for Intelligent Computing (NuPIC) is a machine intelligence platform that implements the HTM learning algorithms. HTM is a detailed computational t

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Using Deep Q-Network to Learn How To Play Flappy Bird 7 mins version: DQN for flappy bird Overview This project follows the description of the Deep Q Learning algorithm described in Playing Atari with Deep Reinforce

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Object detection and instance segmentation toolkit based on PaddlePaddle.

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DensePose: Dense Human Pose Estimation In The Wild Rıza Alp Güler, Natalia Neverova, Iasonas Kokkinos [densepose.org] [arXiv] [BibTeX] Dense human pose estimation aims at mapping all human pixels of an RGB image to the

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A PyTorch implementation of the Transformer model in "Attention is All You Need"

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Objects as Points Object detection, 3D detection, and pose estimation using center point detection: Objects as Points, Xingyi Zhou, Dequan Wang, Philipp Krähenbühl, arXiv technical report (arXiv 1904.07850) Contact: zhoux

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Tensorpack is a training interface based on TensorFlow.

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Graph Convolutional Networks This is a TensorFlow implementation of Graph Convolutional Networks for the task of (semi-supervised) classification of nodes in a graph, as described in our paper: Thomas N. Kipf, Max Welling, Semi-

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Serpent.AI - Game Agent Framework (Python) Update: Revival (May 2020) Development work has resumed on the framework with the aim of bringing it into 2020: Python 3.8+, Less Dependencies, Ease of Use (Installe

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tsfresh This repository contains the TSFRESH python package. The abbreviation stands for "Time Series Feature extraction based on scalable hypothesis tests". The package contains many feature extraction methods and a r

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DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective. 10x Larger Models 5x Faster Training Minimal Code Change DeepSpeed can train DL models with over a hundred billion para

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