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[Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications
A personal investigative project to track the latest progress in the field of multi-modal object tracking.
Some Conferences' accepted paper lists (including AI, ML, Robotic)
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
BLIP2 captioning tool as an extension of AUTOMATIC's WebUI
CausalVLR: A Toolbox and Benchmark for Visual-Linguistic Causal Reasoning (视觉-语言因果推理开源框架)
Official PyTorch implementation of training vision transformers with only 2040 images.
[AAAI 2022] Label Hallucination for Few-Shot Classification
A curated list of Causality in Computer Vision
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Paper of out of distribution detection and generalization
A collection of AWESOME things about domian adaptation
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Continual Learning papers list, curated by ContinualAI
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
C++ Parallel Computing and Asynchronous Networking Framework
A lightweight open-source C compiler for research and education.
PyCIL: A Python Toolbox for Class-Incremental Learning
《C++ Templates 第二版》中文翻译，和原书排版一致，第一部分（1至11章）以及第18，19，20，21、22、23、24、25章已完成，其余内容逐步更新中。 个人爱好，发现错误请指正
MIT视频公开课《计算机程序的构造和解释》中文化项目及课程学习资料搜集。