1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Algorithms for explaining machine learning models

A game theoretic approach to explain the output of any machine learning model.

A toolkit for reproducible reinforcement learning research.

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

Omniglot data set for one-shot learning

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

a raycaster in bash

Library for building powerful interactive command line applications in Python

A collection of papers, theses, and books (in PDF format) on Haskell, Type Theory, Category Theory, FRP, and other FPs related topics

📊 Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.

Numeric arrays for the Lua programming language

Use torch in python for deep learning.

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

Learn how to design and implement effective Machine Learning systems from start to finish.

the LLM vulnerability scanner

Material do Mini Curso de Latex da JAI 2011

A lisp dialect based on pattern matching and term rewriting

A simple LLM client for Emacs

A Web Browser with a Formally Verified Kernel

💧 Liquid Tensor Experiment

A small command-line interface framework.

⭕ Share quick reference cheat sheet for developers.

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.

Tools for merging pretrained large language models.

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization