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Python Data Science Handbook: full text in Jupyter Notebooks
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 ;)
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A game theoretic approach to explain the output of any machine learning model.
A guidance language for controlling large language models.
Instruct-tune LLaMA on consumer hardware
This repository contains implementations and illustrative code to accompany DeepMind publications
PRML algorithms implemented in Python
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
QLoRA: Efficient Finetuning of Quantized LLMs
Automatic extraction of relevant features from time series:
A collection of pre-trained, state-of-the-art models in the ONNX format
Flax is a neural network library for JAX that is designed for flexibility.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
A simple screen parsing tool towards pure vision based GUI agent
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
Learn python3 in one picture.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
A collection of infrastructure and tools for research in neural network interpretability.
A Bulletproof Way to Generate Structured JSON from Language Models
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Text recognition (optical character recognition) with deep learning methods, ICCV 2019