Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
- audio-generation
- gpt-4o
- text-to-speech
- tts
Repository Index
47,133 repositories indexed
1–24 of 27 · Most stars
Universal LLM Deployment Engine with ML Compilation
- llm
- machine-learning-compilation
- language-model
- tvm
A WebGL accelerated JavaScript library for training and deploying ML models.
- deep-learning
- typescript
- webgl
- javascript
A 100% free modern JS SaaS boilerplate (React, NodeJS, Prisma). Full-featured: Auth (email, google, github, slack, MS), Email sending, Background jobs, Landing page, Payments (Stripe, Polar.sh), Shadcn UI, S3 file upload. AI-ready with tailored AGENTS.md, skills, and Claude Code plugin. One cmd deploy. Powered by Wasp full-stack framework.
- full-stack
- open-source
- saas
- nodejs
The open-source hub to build & deploy GPT/LLM Agents ⚡️
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
- java
- gpu
- deeplearning
- neural-nets
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
- inference
- deep-learning
- openvino
- ai
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well
Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.
LoopWAM: Closed-Loop Generalist Policy Improvement from Deployment Rollouts
This repository provides a set of tools and libraries to integrate Intel® OpenVINO™ Toolkit with ROS 2 (Robot Operating System), enabling efficient deployment of deep learning models for computer vision applications on Intel® hardware.
Latest hashcat docker for CUDA, OpenCL, and POCL. Deployed on Vast.ai
⚡ Open-source software for deep learning-based digital pathology
- deep-learning
- machine-learning
- digital-pathology
- computational-pathology
Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.
- autodiff
- automatic-differentiation
- cross-platform
- deep-learning
Build and deploy a serverless data pipeline on AWS with no effort.
- aws-cdk
- data-pipeline
- stepfunctions
- glue
Transformer-SRU LiDAR navigation for Unitree G1: Isaac Lab training, MuJoCo validation, and ROS 2 deployment.
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.