Xiaodongsuper

Adaptive-Collaborative-Similarity-Learning-for-Unsupervised-Multi-view-Feature-Selection

Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection IJCAI2018

SCALE_code

M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining CVPR 2022

M5Product_toolkit

M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining CVPR 2022. Dataset toolkit

Entity-Graph-Enhanced-Cross-Modal-Pretraining-for-Instance-level-Product-Retrieval

M5Product_dataset

M5Product Main Page.

Crowdsourcing

Awesome-Incremental-Learning

Awesome Incremental Learning

agem

Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow

boundary-attack

Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models." arXiv preprint arXiv:1712.04248 (2017).

Co2L

Co^2L: Contrastive Continual Learning (ICCV2021)

CoOp

CVPR19_Incremental_Learning

Learning a Unified Classifier Incrementally via Rebalancing

DER-ClassIL.pytorch

The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021

MAE-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

Product1M

Product1M

Unsupervised-Deep-K-Means-Hashing-for-Effificient-Image-Retrieval-and-Clustering

UU

MMM

dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

nebullvm

Plug and play modules to optimize the performances of your AI systems 🚀

pyllama

LLaMA: Open and Efficient Foundation Language Models

pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful