Repository Index

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

• pytorch
• seq2seq
• sequence-to-sequence
• tutorial

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

• asr
• speaker-diarization
• speech
• speech-recognition

Efficient Image Captioning code in Torch, runs on GPU

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Code Repository for Machine Learning with PyTorch and Scikit-Learn

• machine-learning
• scikit-learn
• deep-learning
• neural-networks

Book about interpretable machine learning

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

Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy

A computer science textbook

• education
• computer-science
• markdown

Translated"A Guide to Building the Large Model White Box": a Tiny-Universe made entirely by hand

• rag
• agent
• diffusion
• evaluation-metrics

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

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

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

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

unet for image segmentation

• unet
• keras
• segmentation

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

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

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