Stars
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
A natural language interface for computers
https://huyenchip.com/ml-interviews-book/
Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks
Code and documentation to train Stanford's Alpaca models, and generate the data.
A Gradio web UI for Large Language Models with support for multiple inference backends.
Materials for the Hugging Face Diffusion Models Course
A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
This repository will take you through creating a FastAPI StableDiffusion app (including Dockerfile) all the way to adding a new feature using industry standard branch development!
AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforceme…
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.
Implementations of few-shot object detection benchmarks
Real-time video and audio processing on Streamlit
Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Probabilistic Random Forest: A machine learning algorithm for noisy datasets
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Deep learning for clustering of multivariate short time series with potentially many missing values
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.