machine-learning

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

A package for the sparse identification of nonlinear dynamical systems from data

A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.

An unofficial C#/.NET SDK for accessing the OpenAI GPT-3 API

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources

Natural Gradient Boosting for Probabilistic Prediction

Genetic Programming in Python, with a scikit-learn inspired API

Rust library and CLI tool for OCR (extracting text from images)

The Self-Coding System for Your App — Alan AI SDK for iOS

A Python package for time series classification

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

Core ML model zoo for iOS/macOS — PyTorch models converted to ready-to-use .mlpackage, each with a conversion script and SwiftUI sample app. Sibling repos cover Apple's Core AI framework (iOS/macOS 27) and on-device LLMs.

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

A comprehensive guide to building RAG-based LLM applications for production.

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

A general-purpose probabilistic programming system with programmable inference

Self-contained Machine Learning and Natural Language Processing library in Go

Large-scale LLM inference engine

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

Byzer (former MLSQL): A low-code open-source programming language for data pipeline, analytics and AI.

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Rust library for quantitative finance.

The Self-Coding System for Your App — Alan AI SDK for Android

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Interpretability and explainability of data and machine learning models

Shared repository for open-sourced projects from the Google AI Language team.

Cross-Platform, GPU Accelerated Whisper 🏎️