TensorFlow

Deep Learning for humans

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Caffe: a fast open framework for deep learning.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

AutoML library for deep learning

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

2018-10

Examples of Machine Learning code using Comet.ml

Fast inference engine for Transformer models

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch

An Industrial Grade Federated Learning Framework

Fiddler Auditor is a tool to evaluate language models.

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Collection of hyperparameter optimization benchmark problems

A Hyperparameter Tuning Library for Keras

Deep Learning for humans

Machine Learning Toolkit for Kubernetes

MLflow - Open Source AI Platform for Agents, LLMs & Models


A simple OpenAI Gym environment for Neural Architecture Search (NAS)

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

Recurrent Neural Networks (RNNs) offer fast inference on long sequences but are hard to optimize and slow to train. Deep state-space models (SSMs) have recently been shown to per

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

A flexible, high-performance serving system for machine learning models

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

AutoML tools chain

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

ML models and internal tensors 3D visualizer

2018-10

Build full-stack, type-safe, LLM-powered apps with the T3 Stack, Turborepo, OpenAI, and Langchain

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables runn

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Low-code framework for building custom LLMs, neural networks, and other AI models

Mesh TensorFlow: Model Parallelism Made Easier

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

Recurrent Neural Networks (RNNs) offer fast inference on long sequences but are hard to optimize and slow to train. Deep state-space models (SSMs) have recently been shown to per

Flan-T5/PaLM

An open-source framework for machine learning and other computations on decentralized data.

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

A flexible, high-performance serving system for machine learning models

Switch Transformers

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Platform created by the community to programmatically author, schedule and monitor workflows.

Transformers

Federated Learning Systems Paper List

A list of awesome compiler projects and papers for tensor computation and deep learning.

Deploy a ML inference service on a budget in less than 10 lines of code.

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

A system-level, binary package and environment manager running on all major operating systems and platforms.

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

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

The Open Source Feature Store for AI/ML

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Flower: A Friendly Federated AI Framework

A library for high performance deep learning inference on NVIDIA GPUs.

A hyperparameter optimization framework, inspired by Optuna.

Experiment tracking, ML developer tools

Hopsworks - Data-Intensive AI platform with a Feature Store

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

a distributed Hyperband implementation on Steroids

Tuning hyperparams fast with Hyperband

Distributed Asynchronous Hyperparameter Optimization in Python

A toolset for black-box hyperparameter optimisation.

Jupyter Interactive Notebook

Machine Learning Pipelines for Kubeflow

LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

A model-agnostic visual debugging tool for machine learning

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environ


Open Source ML Model Versioning, Metadata, and Experiment Management

ModelFox makes it easy to train, deploy, and monitor machine learning models.

A global, black box optimization engine for real world metric optimization.

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

Visualizer for neural network, deep learning and machine learning models

Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

Docker for Your ML/DL Models Based on OCI Artifacts

Resource scheduling and cluster management for AI

Open Source AI Infra & Engineering Control Plane

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

scikit-learn: machine learning in Python

Spearmint Bayesian optimization codebase

TensorFlow's Visualization Toolkit

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

Open Machine Learning Compiler Framework

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, in

W&B Weave helps developers evaluate, monitor, and iterate continuously to deliver generative AI applications with confidence.

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-pre

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Caffe: a fast open framework for deep learning.

Minimalist ML framework for Rust

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

ncnn is a high-performance neural network inference framework optimized for the mobile platform

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Tensors and Dynamic neural networks in Python with strong GPU acceleration

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding featur

A minimalist neural network library optimized for sparse data and single machine environments.