AI chat for every model.

A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming

PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation

A general-purpose, deep learning-first library for constrained optimization in PyTorch

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Source code for Twitter's Recommendation Algorithm

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

GraphQL framework for Python

Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.

Python library for using dplyr like syntax with pandas and SQL

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

A Python Library for Graph Outlier Detection (Anomaly Detection)

Scikit-learn tutorial on model inspection given in PyConDE & PyData Berlin 2022

Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)

Federated gradient boosted decision tree learning

Flower: A Friendly Federated Learning Framework

Free and open-source admin dashboard interface built on top of Tailwind CSS and Flowbite

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Doubt your data, find bad labels.

Secure SDK/vault for personal records/PII built to comply with GDPR

LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.

This repository contains free labs for setting up an entire workflow and DevOps environment from a real-world perspective in AWS

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

Lime: Explaining the predictions of any machine learning classifier

A Python package to assess and improve fairness of machine learning models.

The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.