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ai-edu

AI education materials for Chinese students, teachers and IT professionals.

albumentations

fast image augmentation library and easy to use wrapper around other libraries

alfred

alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046

animl

Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-papers-fewshot

Collection for Few-shot Learning

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

circleloss

Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"

client

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

data-analysis

Data Science Using Python

detr

End-to-End Object Detection with Transformers

dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

few-shot

Repository for few-shot learning machine learning projects

few-shot-meta-baseline

A New Meta-Baseline for Few-Shot Learning

fitlog

fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

ici-fsl

This repository contains the code for our paper "Instance Credibility Inference for Few-Shot Learning" in CVPR, 2020.

maml-reptile-prototype

ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

models

Models and examples built with TensorFlow

monai

AI Toolkit for Healthcare Imaging

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

optimaltransport.github.io

Web site of the Computational Optimal Transport book

pot

POT : Python Optimal Transport

prml

PRML algorithms implemented in Python

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques