OPENAGENTSKILL / DIRECTORY
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Results: 74
greyhatguy007
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
ben1234560
快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。
MAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
tensorflow
Probabilistic reasoning and statistical analysis in TensorFlow
open-spaced-repetition
A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
microsoft
Debugging, monitoring and visualization for Python Machine Learning and Data Science
raiyanyahya
Build a modern LLM from scratch. Every line commented. Explained like we are five.
TeamHG-Memex
A library for debugging/inspecting machine learning classifiers and explaining their predictions
mryab
Efficient Deep Learning Systems course materials (HSE, YSDA)
mlabonne
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
