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adapt-image-models

[ICLR'23] AIM: Adapting Image Models for Efficient Video Action Recognition

advances-in-label-noise-learning

A curated (most recent) list of resources for Learning with Noisy Labels

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-cheatsheets

超级速查表 - 编程语言、框架和开发工具的速查表，单个文件包含一切你需要知道的东西 :zap:

awesome-cheatsheets-1

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

awesome-incremental-learning

Awesome Incremental Learning

awesome-papers-fewshot

Collection for Few-shot Learning

awesome-visual-transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

awesome_prompting_papers_in_computer_vision

A curated list of prompt-based paper in computer vision and vision-language learning.

axjingworks

AI Ruler

baseline_fgsbir

Baseline Triplet Loss Based Model for Fine-Grained Sketch Based Image Retrieval.

cabnet

caffe-ssd

Caffe: a fast open framework for deep learning.

chzhshch-blog-site

全球第一博客---缠中说禅

cka_pytorch

Reproducing Raghu et al 2021 - Do Vision Transformers See Like Convolutional Neural Networks?

cocoapi

COCO API - Dataset @ http://cocodataset.org/

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

dbnet.pytorch

A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

detection-pytorch-notebook

代码 -《深度学习之PyTorch物体检测实战》

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

few-shot-semantic-segmentation-papers

Few Shot Semantic Segmentation Papers

fsl-mate

FSL-Mate: A collection of resources for few-shot learning (FSL).

funcat

Funcat 将同花顺、通达信、文华财经麦语言等的公式写法移植到了 Python 中。

gpt_academic

为ChatGPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古, newbing, claude等

gradient_descent_viz

interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI

hello-algorithm

🌍 东半球最酷的学习项目 | 1、我写的三十万字算法图解 2、千本开源电子书 3、100 张思维导图 4、100 篇大厂面经 5、30 个学习专题 🚀 🚀 🚀 右上角点个 star，加入我们万人学习群！English Supported！

iebn

The official implementation of paper "Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise".