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📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of awesome Python frameworks, libraries, software and resources.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Magnificent app which corrects your previous console command.
Robust Speech Recognition via Large-Scale Weak Supervision
The Web framework for perfectionists with deadlines.
Python tool for converting files and office documents to Markdown.
The Python micro framework for building web applications.
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A high-throughput and memory-efficient inference and serving engine for LLMs
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Get your documents ready for gen AI
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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。
Multi-agent framework, runtime and control plane. Built for speed, privacy, and scale.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more