The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
- machine-learning
- experiment-track
- deep-learning
- keras
Repository Index
56,139 visible repositories in the index
25–48 of 229 · Most stars
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
Fast and Accurate ML in 3 Lines of Code
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
- cloud-computing
- deep-learning
- gpu
- hyperparameter-tuning
Hydra is a framework for elegantly configuring complex applications
Perform data science on data that remains in someone else's server
- deep-learning
- secure-computation
- pytorch
- privacy
🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.
- xonsh
- devops
- iterm2
- data-engineering
Your Gateway to Embedded Software Development Excellence :alien:
Multi-user anti-filtering panel, with an effortless installation and supporting more than 20 protocols to circumvent filtering plus the telegram proxy.
- clash
- clashforwindows
- shadowsocks
- telegram-proxy
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.
The property-based testing library for Python
- python
- testing
- fuzzing
- property-based-testing
Unified framework for robot learning with multi-physics/renderer support
- robot-learning
- robotics
- omniverse-kit-extension
- isaac-sim
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
- dataframe
- python
- bigdata
- tabular-data
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
- causal-inference
- machine-learning
- graphical-models
- bayesian-networks
Automated Machine Learning with scikit-learn
- automl
- scikit-learn
- automated-machine-learning
- hyperparameter-optimization
🚴 Call stack profiler for Python. Shows you why your code is slow!
Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
- ingestion-api
- ocr
- omniparser
- parse-server
cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.
- python
- cryptography
The cryptography-based networking stack for building unstoppable networks with LoRa, Packet Radio, WiFi and everything in between.
- networking-stack
- packet-radio
- lora
- mesh-networks
TranslatedTSP: a self-hosted, zero-maintenance quantitative workbench for A-shares covering "custom strategies + monitoring + backtesting" | LLM capabilities drive strategy customization + individual stock analysis + post-trade review | Freely connect third-party data sources and personalized extended data | Personal open-source project
- a-stock
- ai-agent
- aigc
- backtesting
Distributed Asynchronous Hyperparameter Optimization in Python
- hacktoberfest
TranslatedTurn off ads, trending searches, news recommendations, and marketing push notifications in the system of Chinese-brand Android phones. No root needed, reversible, and supports one-click execution by AI agents.
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
- jupyter-notebook
- jupyterlab-extension
- version-control
- knitr
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