peter-thenardier

peter-thenardier's Stars

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77k2.7k7.3k45.8k

• scutan90/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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.3k2.3k18915.8k

• PlexPt/awesome-chatgpt-prompts-zh

  ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

  52.2k3429513.5k

• freefq/free

  翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子

  36.8k8456635.8k

• ageron/handson-ml

  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

  Language:Jupyter Notebook25.2k1.1k56212.9k

• jcjohnson/neural-style

  Torch implementation of neural style algorithm

  Language:Lua18.3k6344392.7k

• nondanee/UnblockNeteaseMusic

  Revive unavailable songs for Netease Cloud Music

  Language:JavaScript17.4k2367882.5k

• bharathgs/Awesome-pytorch-list

  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

  15.3k566162.8k

• kailashahirwar/cheatsheets-ai

  Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

  15.1k1k183.4k

• openalpr/openalpr

  Automatic License Plate Recognition library

  Language:C++11k5217942.5k

• mrgloom/awesome-semantic-segmentation

  :metal: awesome-semantic-segmentation

  10.5k441252.5k

• selierlin/Share-SSR-V2ray

  机场推荐/SSR V2ray节点订阅机场/镜像直连/工具推荐

  9.8k349561.2k

• iamtrask/Grokking-Deep-Learning

  this repository accompanies the book "Grokking Deep Learning"

  Language:Jupyter Notebook7.4k320501.6k

• liuruoze/EasyPR

  (CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

  Language:C++6.4k5232922.5k

• SmirkCao/Lihang

  Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

  Language:Python6k160441.6k

• szad670401/HyperLPR

  基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

  Language:C++5.7k2083342k

• MichalDanielDobrzanski/DeepLearningPython

  neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

  Language:Python2.8k135311.3k

• L1Xu4n/Awesome-ChatGPT-prompts-ZH_CN

  如何将ChatGPT调教成一只猫娘

  2.7k2526156

• hwalsuklee/awesome-deep-text-detection-recognition

  A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

  2.5k15113513

• bigemon/ChatGPT-ToolBox

  由ChatGPT自己编写的ChatGPT工具箱。 当前功能: 1. 绕过高负载禁止登录 2.关闭数据监管 3.链路维持(减少网络错误) 4.API混合接入 5.会话导入导出 6.聊天记录下载 7.解锁GPT4-Mobile

  Language:JavaScript2k2252154

• princeton-vl/CornerNet-Lite

  Language:Python1.8k50159430

• JinpengLI/deep_ocr

  make a better chinese character recognition OCR than tesseract

  Language:Python1.5k9945486

• salesforce/pytorch-qrnn

  PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM

  Language:Python1.3k5120193

• dalmia/Deep-Learning-Book-Chapter-Summaries

  Attempting to make the Deep Learning Book easier to understand.

  Language:Jupyter Notebook1.1k513314

• bigemon/ChuanhuChatGPT

  GUI for ChatGPT API (with NSFW option)

  Language:Python6936085

• zhaohuicici/Time-Series-Model

  时间序列理论和案例实践

  Language:Python673232

• lemire/PiecewiseLinearTimeSeriesApproximation

  code from Daniel Lemire, A Better Alternative to Piecewise Linear Time Series Segmentation, SIAM Data Mining 2007, 2007.

  Language:C++24405

• scutan90/deeplearningbook-chinese

  Deep Learning Book Chinese Translation

  Language:TeX133015

• dockrepo/docker-clash-with-dashboard

  [Docker] clash with dashboard

  Language:Shell93

• scutan90/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook62