wangkiw

ICLR23-MEMO

The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch

TEEN

The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch

Awesome-OOD-Detection

Awesome-Few-Shot-Class-Incremental-Learning

Awesome Few-Shot Class-Incremental Learning

CVPR22-Fact

The code repository for "Forward Compatible Few-Shot Class-Incremental Learning" (CVPR22) in PyTorch.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

IP-IRM

[NeurIPS 2021] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature"

numpy-ml

Machine learning, in numpy

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

StableNet

Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

TML-Group

The code that TML group often uses

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.