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Name: Dragon
Type: User
Name: Dragon
Type: User
[ICLR'23] AIM: Adapting Image Models for Efficient Video Action Recognition
A curated (most recent) list of resources for Learning with Noisy Labels
Algorithms And DataStructure Implemented In Python, Java & CPP, Give a Star 🌟If it helps you
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
This repo includes ChatGPT prompt curation to use ChatGPT better.
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 for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
Awesome Incremental Learning
Collection for Few-shot Learning
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
A curated list of prompt-based paper in computer vision and vision-language learning.
AI Ruler
Baseline Triplet Loss Based Model for Fine-Grained Sketch Based Image Retrieval.
Caffe: a fast open framework for deep learning.
互联网仍有记忆!那些曾经在校招过程中毁过口头offer、意向书、三方的公司!纵然人微言轻,也想尽绵薄之力!
全球第一博客---缠中说禅
Reproducing Raghu et al 2021 - Do Vision Transformers See Like Convolutional Neural Networks?
COCO API - Dataset @ http://cocodataset.org/
A technical report on convolution arithmetic in the context of deep learning
A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization
deep learning for image processing including classification and object-detection etc.
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
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.
代码 -《深度学习之PyTorch物体检测实战》
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
FSL-Mate: A collection of resources for few-shot learning (FSL).
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。
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
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.