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awesome-few-shot-class-incremental-learning

Awesome Few-Shot Class-Incremental Learning

awesome-ood-detection

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.

iclr23-memo

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

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)

teen

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

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.