Highlights
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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🦜🔗 The platform for reliable agents.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
The Web framework for perfectionists with deadlines.
A high-throughput and memory-efficient inference and serving engine for LLMs
aider is AI pair programming in your terminal
⚡ A Fast, Extensible Progress Bar for Python and CLI
Code and documentation to train Stanford's Alpaca models, and generate the data.
DSPy: The framework for programming—not prompting—language models
The official Python library for the OpenAI API
🤗 smolagents: a barebones library for agents that think in code.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)
Home of StarCoder: fine-tuning & inference!
Trio – a friendly Python library for async concurrency and I/O
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
A list of free LLM inference resources accessible via API.
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Home of CodeT5: Open Code LLMs for Code Understanding and Generation
Code for the paper "Evaluating Large Language Models Trained on Code"
A lightweight LLVM python binding for writing JIT compilers
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).