wxwoods

AiLearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

clifford

Numeric Geometric Algebra module for Python

Share-GAN

awesome-bert-nlp

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

awesome-ehr-deeplearning

Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.

COVID-CT

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

deep-learning-for-image-retrieval

Page to list the related works on deep learning for image retrieval.

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

ganhacks

starter from "How to Train a GAN?" at NIPS2016

GNNPapers

Must-read papers on graph neural networks (GNN)

google-research

Google AI Research

Graph-Attention-Networks

PyTorch implementation of Graph Attention Networks

graph_nets

Build Graph Nets in Tensorflow

keras-tcn

Keras Temporal Convolutional Network.

logictensornetworks

Deep Learning and Logical Reasoning from Data and Knowledge

medical-data

MetaLearningPapers

A classified list of meta learning papers based on realm.

ml-agents

Unity Machine Learning Agents Toolkit

models

Models and examples built with TensorFlow

neural-symbolic-machines

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

opencog

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

probnmn-clevr

Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]

rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

Representation-Learning-on-Heterogeneous-Graph

Representation-Learning-on-Heterogeneous-Graph

scipy-lecture-notes

Tutorial material on the scientific Python ecosystem

SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

tick

Module for statistical learning, with a particular emphasis on time-dependent modelling

torchcv

A PyTorch-Based Framework for Deep Learning in Computer Vision