Stars
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts'.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
The repository to showcase the best framework for tabular data - the Awesome CatBoost
Anomaly detection related books, papers, videos, and toolboxes
Artificial Intelligence for Robotics - Second Edition, published by Packt
Code examples and resources for DBRX, a large language model developed by Databricks
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…
We write your reusable computer vision tools. 💜
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
Code for the paper "Language Models are Unsupervised Multitask Learners"
SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool.
🦜🔗 Build context-aware reasoning applications
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Seamlessly integrate LLMs into scikit-learn.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…
Spark: The Definitive Guide's Code Repository
Repo to hold examples of responsible model assessment for a variety of different verticals such as healthcare and financial services
A native Rust library for Delta Lake, with bindings into Python
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
⚡ Langchain apps in production using Jina & FastAPI
Open-Source Implementation of WizardLM to turn documents into Q:A pairs for LLM fine-tuning