The "Python Machine Learning (3rd edition)" book code repository
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A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
unet for image segmentation
- unet
- keras
- segmentation
A Bulletproof Way to Generate Structured JSON from Language Models
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
- agent
- agentic
- agentic-ai
- agentic-rl
The 3rd edition of course.fast.ai
- data-science
- fastai
- deep-learning
- pytorch
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
- machine-learning
- dockerfiles
- jetson
- pytorch
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
- machine-learning
- economics
- causal-inference
- causality
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
- bayesian-methods
- deep-learning
- machine-learning
- data-science
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
- data-science
- machine-learning
- deep-learning
- data-portfolio
TranslatedKnowledge, code, and ideas for data mining, computer vision, natural language processing, and recommender system competitions
- kaggle
- data-competition
- data-science
- deep-learning
Acceptance rates for the major AI conferences
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
- reinforcement-learning
- machine-learning
- artificial-intelligence
- deep-reinforcement-learning
35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.
- agentic-ai
- ai-agents
- langchain
- langgraph
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
- dsp
- python
- signal-processing
- textbook
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Data augmentation for NLP
- nlp
- augmentation
- machine-learning
- artificial-intelligence
An Open Source text-to-speech system built by inverting Whisper.
Translated"PyTorch Practical Tutorial" (Second Edition): whether you are starting from zero, working on CV, NLP, or LLM project applications, or moving on to advanced engineering deployment, it's all here. We believe that with the help of this book, readers will be able to master the use of PyTorch with ease and become an excellent deep learning engineer.
- computer-vision
- deepsort
- diffusion-models
- onnx
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
- tensorflow
- pytorch
- keras
- gobang
Performance analysis of predictive (alpha) stock factors