wstecho

wstecho's Stars

• vipstone/faceai

  一款入门级的人脸、视频、文字检测以及识别的项目.

  Language:Python10.8k2.5k

• pythonguis/pythonguis-examples

  Demo desktop apps built with Python & Qt. With examples for PyQt6, PySide6, PyQt5 & PySide2

  Language:Python4.2k1.1k

• khornlund/severstal-steel-defect-detection

  Kaggle Segmentation Challenge

  Language:Jupyter Notebook24858

• qubvel-org/segmentation_models.pytorch

  Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

  Language:Python9.9k1.7k

• bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets

  Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

  Language:Python2k350

• YQGong/NN_From_Scratch

  B站视频系列-从零开始的神经网络

  Language:Jupyter Notebook11054

• AccumulateMore/CV

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

  Language:Jupyter Notebook6.7k864

• fry404006308/fry_course_materials

  范仁义录播课资料，会依次推出各种完全免费的前端、后端、大数据、人工智能等课程，课程网站： https://fanrenyi.com ； b站课程地址： https://space.bilibili.com/45664489 ；

  Language:Jupyter Notebook670170

• nndl/practice-in-paddle

  《神经网络与深度学习》案例与实践

  Language:Jupyter Notebook855186

• microsoft/ai-edu

  AI education materials for Chinese students, teachers and IT professionals.

  Language:HTML13.7k2.9k

• PaddlePaddle/PaddleYOLO

  🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀

  Language:Python573137

• YINYIPENG-EN/yolov5_hand_pose

  yolov5手势物体识别，同时为了方便更多的人直接拿来应用，我生成了支持windows系统的应用小程序，即便你电脑上没有安装pytorch,没有安装cuda、python，都可以使用~！

  Language:Python143

• duckzhao/hand_pose_yolov5

  使用yolov5检测手势

  Language:Python295

• MetaWu2077/Esp32_VoiceChat_LLMs

  esp32 based device, mainly used for voice chat with large language models

  Language:C++710162

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.6k3k

• Eatzhy/Surface-defect-Detection-dataset

  15031

• WongKinYiu/yolov7

  Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

  Language:Jupyter Notebook13.5k4.2k

• xpwu95/IP102

  IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition

  21750

• PaddlePaddle/PaddleSlim

  PaddleSlim is an open-source library for deep model compression and architecture search.

  Language:Python1.6k349

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  20.4k1.7k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 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, ... 🧠

  Language:Python57.7k5.9k

• LiangYang666/ChatGPT-Web

  使用GPT-3.5 API创建的ChatGPT聊天页面，支持云部署，多用户使用，多对话管理，公式显示，流式动态显示，windows和linux均可极简部署，网页版 html python flask

  Language:Python496310

• zhayujie/bot-on-anything

  A large model-based chatbot builder that can quickly integrate AI models (including ChatGPT, Claude, Gemini) into various software applications (such as Telegram, Gmail, Slack, and websites).

  Language:Python4k921

• king-yyf/CMeKG_tools

  Language:Python1.1k405

• aqlaboratory/openfold

  Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

  Language:Python2.9k554

• lucidrains/alphafold2

  To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

  Language:Python1.6k261

• openai/gpt-2

  Code for the paper "Language Models are Unsupervised Multitask Learners"

  Language:Python22.8k5.6k

• mli/paper-reading

  深度学习经典、新论文逐段精读

  27.7k2.5k

• openai/shap-e

  Generate 3D objects conditioned on text or images

  Language:Python11.7k958

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，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chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python66.8k8.2k