Repository Index

Create delightful software with Jupyter Notebooks

• jupyter-notebooks
• python
• literate-programming
• fastai

Neo4j graph construction from unstructured data using LLMs

• data-import
• genai
• graph
• graph-rag

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

• pytorch
• deep-learning
• deep-neural-networks
• python

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

• efficientdet
• efficientnet
• pytorch
• object-detection

Bonus materials, exercises, and example projects for our Python tutorials

CoTracker is a model for tracking any point (pixel) on a video.

• optical-flow
• point-tracking
• track-anything

Repo for the Deep Reinforcement Learning Nanodegree program

• deep-reinforcement-learning
• reinforcement-learning
• reinforcement-learning-algorithms
• neural-networks

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

• human-pose-estimation
• realtime
• caffe
• human-behavior-understanding

links to conference publications in graph-based deep learning

• graph-neural-networks
• graph-convolutional-networks
• graph
• deep-learning

Translated🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. Academic homepage, AI-generated, Markdown-owned 👇

• hugo
• website-generation
• academic
• netlify

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

• dependency-graph

The "Python Machine Learning (3rd edition)" book code repository

• machine-learning
• deep-learning
• tensorflow
• scikit-learn

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

• machine-learning
• deep-learning
• data-science
• neural-networks

Learn python3 in one picture.

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

• machine-learning
• data-science
• python
• mathematics

Translated"Deep Learning from Scratch" (O'Reilly Japan, 2016)

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

🚀 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

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