Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as...
Videos, notes and experiments to understand deep learning
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
An implementation of Performer, a linear attention-based transformer, in Pytorch
Lab materials for the Full Stack Deep Learning Course
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Scien...
TensorFlow 最佳学习资源大全(含课程、书籍、博客、公开课等内容)
Data Augmentation For Object Detection
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
A curated list of awesome architecture search resources
🏖 Keras Implementation of Painting outside the box
Human Pose estimation with TensorFlow framework
Recent Transformer-based CV and related works.
gradslam is an open source differentiable dense SLAM library for PyTorch
Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects...
A List of Data Science/Machine Learning Resources (Mostly Free)
Change Python code while it's running without losing state
An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复,去马赛克,填补,去瑕疵
Notes for Fastai Deep Learning Course
:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
A lightweight header-only library for using Keras (TensorFlow) models in C++.
A Graph Neural Network Library in Jax
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
Samples and Tools for Windows ML.
Finding the genre of a song with Deep Learning
Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥
Deep Learning Interview 深度学习面试题目汇总
Implementation of Quickdraw - an online game developed by Google
Port of Single Shot MultiBox Detector to Keras
A library created to revitalize C++ as a machine learning front end. Per aspera ad astra.
YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!
ChainerRL is a deep reinforcement learning library built on top of Chainer.
TensorFlow 101: Introduction to Deep Learning
Real time WebGL and JavaScript library for face tracking, expression detection and animated emoticons in the browser, with both SVG and Three.js demos...
Machine learning algorithms implemented by pure numpy
An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"
:memo: This repository recorded my NLP journey.
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
curated collection of papers for the nlp practitioner 📖👩🔬
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-v...
Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)