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21 Lessons, Get Started Building with Generative AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Google Research
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A game theoretic approach to explain the output of any machine learning model.
A simple screen parsing tool towards pure vision based GUI agent
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
This repository contains implementations and illustrative code to accompany DeepMind publications
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Automatic extraction of relevant features from time series:
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Understanding Deep Learning - Simon J.D. Prince
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Flax is a neural network library for JAX that is designed for flexibility.
Taming Transformers for High-Resolution Image Synthesis
A scikit-learn compatible neural network library that wraps PyTorch
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Create delightful software with Jupyter Notebooks
links to conference publications in graph-based deep learning
Probabilistic reasoning and statistical analysis in TensorFlow
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 go…
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Materials for the Hugging Face Diffusion Models Course
Bayesian optimization in PyTorch