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tag “machine-learning”
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Python
Stable
May 14, 2026
A massive open-source AI curriculum spanning 20 phases, 260+ lessons, and ~290 hours of content — from linear algebra to autonomous agent swarms. I dug into what's actually there, what's still vaporware, and whether it's worth bookmarking.
1,962 stars
rohitg00/ai-engineering-from-scratch
7 min read
Python
Stable
May 12, 2026
A Chinese researcher has published 100+ hand-crafted SVG architecture diagrams covering LLMs, reinforcement learning, RLHF, GRPO, and more. If you've ever struggled to find a clear visual explanation of PPO in the context of language model training, this repo probably has what you need.
3,997 stars
changyeyu/LLM-RL-Visualized
7 min read
Python
Rising
April 25, 2026
Pruna is a Python framework that wraps quantization, pruning, compilation, caching, and more into a single unified API for optimizing ML models. I dug into the repo to figure out whether it's genuinely useful or just another abstraction layer you'll regret adding.
1,157 stars
PrunaAI/pruna
7 min read
Python
Rising
April 11, 2026
If you're doing any serious ML work in Python, you're probably already using this library whether you know it or not. Here's an honest look at whether it's worth deliberately adopting versus just tolerating as a transitive dependency.
21,383 stars
huggingface/datasets
8 min read
Python
Rising
April 10, 2026
MLflow has been the default experiment tracking tool for ML teams for years, and it's now making a serious push into LLM observability, agent evaluation, and prompt management. Here's an honest look at whether it delivers on that expanded scope.
25,260 stars
mlflow/mlflow
8 min read
Python
Rising
April 9, 2026
Ray is a mature, actively developed distributed compute framework that can genuinely scale Python and ML workloads from a laptop to a cluster. But with 3,500+ open issues and a sprawling surface area, adopting it requires knowing exactly which parts you need.
42,029 stars
ray-project/ray
8 min read