Stars
Master the command line, in one page
Everything you need to know to get the job.
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
No fortress, purely open ground. OpenManus is Coming.
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
2025年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
OpenMMLab Detection Toolbox and Benchmark
The most cited deep learning papers
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
Fast and memory-efficient exact attention
本项目曾冲到全球第一，干货集锦见本页面最底部，另完整精致的纸质版《编程之法：面试和算法心得》已在京东/当当上销售
AI education materials for Chinese students, teachers and IT professionals.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
Hackable and optimized Transformers building blocks, supporting a composable construction.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
《剑指Offer：名企面试官精讲典型编程面试题》第二版源代码
Summaries and notes on Deep Learning research papers
Simple PyTorch Tutorials Zero to ALL!
A recurrent neural network for generating little stories about images