[CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners

Generative Multi-modal Models are Good Class Incremental Learners, CVPR 2024 [PyTorch Code]

公务员从入门到上岸，最佳程序员公考实践教程

[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"

Causal depthwise conv1d in CUDA, with a PyTorch interface

Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

[CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

Official implementation of Rectified Straight Through Estimator (ReSTE).

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

该仓库主要记录 NLP 算法工程师相关的面试题

Code for CVPR 2024 paper Interactive Continual Learning: Fast and Slow Thinking

Accepted to CVPR 2024, "Interactive continual learning: Fast and slow thinking"

Pytorch implementation of Simplified Structured State-Spaces for Sequence Modeling (S5)

Structured state space sequence models

Mamba SSM architecture

A simple implementation of [Mamba: Linear-Time Sequence Modeling with Selective State Spaces](https://arxiv.org/abs/2312.00752)

The Fast Cross-Platform Package Manager

[CVPR 2023] Regularizing Second-Order Influences for Continual Learning

[NeurIPS 2023] Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.

An Incremental Learning, Continual Learning, and Life-Long Learning Repository

✨✨Latest Advances on Multimodal Large Language Models