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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

anylabeling

Effortless AI-assisted data labeling with AI support from Segment Anything and YOLO!

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-free-chatgpt

🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.

awesome-github-profile-readme

😎 A curated list of awesome GitHub Profile READMEs 📝

awesome-open-gpt

Collection of Open Source Projects Related to GPT，GPT相关开源项目合集🚀、精选🔥🔥

awesome-segment-anything

Tracking and collecting papers/projects/others related to Segment Anything.

awesome-segment-anything-1

A collection of project, papers, and source code for Meta AI's Segment Anything Model (SAM) and related studies.

awesome-segmentation-with-transformer

Transformer-Based Visual Segmentation: A Survey

backgroundmattingv2

Real-Time High-Resolution Background Matting

backgroundremover

Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.

bjtu-thesis-template-from-glc

boundary-iou-api

Boundary IoU API (Beta version)

chatglm-6b

ChatGLM-6B：开源双语对话语言模型 | An Open Bilingual Dialogue Language Model

chatgpt-data-science-prompts

A repository of 60 useful data science prompts for ChatGPT

class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

coolshanlan

cv

✔（已完结）最全面的 深度学习 笔记【我是土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

cvat

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

cvpr2023-paper-code-interpretation

cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

deep-active-learning

Deep Active Learning

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

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dqn_zoo

DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.

dwba-ada

editanything

Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc.

firefly

Firefly(流萤): 中文对话式大语言模型

hello-algo

《Hello 算法》是一本动画图解、能运行、可提问的数据结构与算法入门书，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Zig 等语言。

ilm-assl

Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation

imageio-binaries

Repo to place the (relatively small) binary libraries