Jackie Loong

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

An open-source beginner's book for learning deep learning with TensorFlow 2.0, includes a PDF, runnable Jupyter notebooks, and teaching slides, written in Chinese.

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

A curated list of Meta-Learning resources/papers.

Graph Convolution Network for PyTorch

Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning

Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

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PyTorch深度学习开源电子书

A curated list of AutoML papers/tutorials/slides etc.

PyTorch 1.0 supported for CNN exp.

Pytorch Implementation of variational auto-encoder for MNIST

Pytorch code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning

Graph Convolution Network for TensorFlow 2 implementation.

Pytorch version of Hinton's Capsule Theory paper: Dynamic Routing Between Capsules

Pytorch Implementation for paper: IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis

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Curated Lists for graph neural network, graph convolutional network, graph attention network, etc.

Pytorch Implementation of Proximal Policy Optimization Algorithm

深度学习算法实战

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Paper Lists for Graph Neural Networks

Latest papers collection of thoughtful work on meta-learning research

《神经网络与深度学习》 Neural Network and Deep Learning

Pytorch Implementations for popular GAN algorithms.

Deep Reinforcement Learning tutorials

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Personal website on github

A list of all named GANs!

Fast, Efficient and Elegant Android Neural Network Library with strong GPU acceleration, implemented CNN, Squeezenet yet.

Learning from data 英文字幕 Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa

Papers collection of latest insightful work on casual reasoning research.

Neural Turing Machine or Differentiable Neural Computer Implementation in Pytorch 0.4.0, with cuda

Standard Locality Sensitive Hashing

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The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

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所有小初高、大学PDF教材。

Notes about some advanced usage or easy-wrong highlights about Pytorch

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

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Useful Utils code for deep learning development

Repository for ICLR 2018 paper: memoryGAN

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Reproduce R1 Zero on Logic Puzzle

Universal Meta Learning Library, with PyTorch GPU Acceleration.

Stereographic Projection Visualization using Numpy

[INACTIVE LEGACY VERSION, FIND THE PROJECT HERE: https://github.com/gyroflow/gyroflow] Video stabilization using IMU motion data from internal or external logs

Linux build of spd-dump in Releases.

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This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

Minimize kaldi nnet3 chain decoder

Tator: The video and image annotator

A JavaScript library to display Photo Sphere panoramas.

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Try to reproduce FaceShifter

Machine Learning Algorithms

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哔哩哔哩后台源码

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MAML#

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TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)

Reptile

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

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Useful small code episode

Upload a file and cope with it in web server