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dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

universe

Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

ocds-guide-to-setting-up-mac

OCD's Guide to Setting up Mac

MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

piwik

Matomo (Formerly known as piwik) has corrected their fallacy

torchxrayvision

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

Domain-generalization

All about domain generalization

dataset-distillation

Open-source code for paper "Dataset Distillation"

FewShotWithoutForgetting

RandomForest

随机森林，Random Forest（RF）

DeepSets

autoencoder

Text autoencoder with LSTMs

iCaRL

pathnet

Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

MLinPractice

Repository for ML in Practice Course at CMU (10-718)

FADA-Pytorch

pytorch implement for the paper Few-Shot Adversarial Domain Adaptation

ScalableML

Demo codes for scalable Machine Learning

nytimes-corpus-extractor

Extract all the fields from the NY Times Corpus to a csv

Optimization-Algorithms

This is a paper list for recent studies on optimization algorithms.