Train and serve machine learning models. From PyTorch wrappers to model serving platforms and fine-tuning tools.
Showing 73–96 of 108 repositories
openvinotoolkit
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
CVHub520
Effortless data labeling with AI support from Segment Anything and other awesome models.
modelscope
ModelScope: bring the notion of Model-as-a-Service to life.
bentoml
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
faridrashidi
🏅 Collection of Kaggle Solutions and Ideas 🏅
promptslab
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
NVIDIA
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
mlpack
mlpack: a fast, header-only C++ machine learning library
kserve
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
obss
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
vllm-project
A framework for efficient model inference with omni-modality models
microsoft
Simple and Distributed Machine Learning
sacridini
Long list of geospatial tools and resources
beclab
Olares: An Open-Source Personal Cloud to Reclaim Your Data
mayocream
ML-powered manga translator, written in Rust.
ahkarami
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
HuaizhengZhang
🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. 🗃️ Llama3, Mistral, etc. 🧑💻 Video Tutorials.
ModelTC
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
FedML-AI
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 running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
lucidrains
Vector (and Scalar) Quantization, in Pytorch
predibase
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
ZhaoJ9014
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
smallcloudai
AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes, and iterates until it achieves a successful result.