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Starred repositories
Amazing apps build from Python notebooks with Mercury
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Compare AI on data analysis tasks
The free AI already on your Mac. CLI tool, OpenAI-compatible server, and interactive chat — all on-device via Apple Intelligence. No API keys, no cloud, no downloads.
A repository of 60 useful data science prompts for ChatGPT
I replicated Ng's RYS method and found that duplicating 3 specific layers in Qwen2.5-32B boosts reasoning by 17% and duplicating layers 12-14 in Devstral-24B improves logical deduction from 0.22→0.…
Model-rocketry aerodynamics and trajectory simulation software
Hundreds of models & providers. One command to find what runs on your hardware.
AI agents running research on single-GPU nanochat training automatically
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
👾 nao is an open source analytics agent. (1) Create context with nao-core cli, (2) deploy nao chat interface for everyone
A serverless, zero-setup Python notebook environment that runs entirely in your web browser
GeoAI: Artificial Intelligence for Geospatial Data
A fully-featured web-based terminal (for remote server access)
DataSciBench: An LLM Agent Benchmark for Data Science (Findings of ACL 2026)
MCP Toolbox for Databases is an open source MCP server for databases.
Z80-μLM is a 2-bit quantized language model small enough to run on an 8-bit Z80 processor. Train conversational models in Python, export them as CP/M .COM binaries, and chat with your vintage compu…
OCR model that handles complex tables, forms, handwriting with full layout.
The official implementation of "ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning"
MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering
InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…
Fragno is a toolkit for building (and integrating) full-stack libraries: frontend, backend, database all-in-one.