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ailearning

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

awesome-architecture-search

A curated list of awesome architecture search resources

awesome-automl-and-lightweight-models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

awesome-bert-nlp

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

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-ehr-deeplearning

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

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-model-compression

papers about model compression

awesome-nas

A curated list of neural architecture search (NAS) resources.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-zero-shot-learning

A curated list of papers, code and resources pertaining to zero shot learning

clifford

Numeric Geometric Algebra module for Python

conv_arithmetic

A technical report on convolution arithmetic in the context of 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.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

detectron2

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

dictol

DICTOL - A Dictionary Learning Toolbox in Matlab and Python

disentangled-representation-papers

A curated list of research papers related to learning disentangled representations

ganhacks

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

geometricoptimization

gnnpapers

Must-read papers on graph neural networks (GNN)

google-research

Google AI Research

gopt

Geometrical Optimization Toolbox

graph-attention-networks

PyTorch implementation of Graph Attention Networks

graph_nets

Build Graph Nets in Tensorflow

image-super-resolution

Implementation of Super Resolution CNN in Keras.

jvdl

Dynamical Textures Modeling via Joint Video Dictionary Learning

keras-tcn

Keras Temporal Convolutional Network.