OPENAGENTSKILL / DIRECTORY
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113–128 / 144
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Results: 144
louisfb01
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the lat…
mckinsey
A Python library that helps data scientists to infer causation rather than observing correlation.
Kodezi
Kodezi Chronos is a debugging-first language model that achieves state-of-the-art results on SWE-bench Lite (80.33%) and 67% real-world fix accuracy, over six times bett…
fairlearn
A Python package to assess and improve fairness of machine learning models.
explosion
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
MaximeVandegar
Implementation of papers in 100 lines of code.
meta-pytorch
Training PyTorch models with differential privacy
qxresearch
Python hands on tutorial with 50+ Python Application (10 lines of code) By @xiaowuc2
Trusted-AI
Interpretability and explainability of data and machine learning models
meta-pytorch
A lightweight library for PyTorch training tools and utilities
okfn-brasil
🕵 Artificial Intelligence for social control of public administration | **This repository does not receive frequent updates. Check out the README**
SharifiZarchi
Machine Learning Course, Sharif University of Technology
trekhleb
🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"
neonwatty
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
