machine-learning

TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.

🐍 Geometric Computer Vision Library for Spatial AI

Refine high-quality datasets and visual AI models

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

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).

Effortless data labeling with AI support from Segment Anything and other awesome models.

ModelScope: bring the notion of Model-as-a-Service to life.

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

The backtesting engine that gives you an unfair advantage. Test thousands of trading ideas in the time others test one.

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.

Bindu: The identity, communication, and payments layer for AI agents.

AI + Data, online. https://vespa.ai

🏅 Collection of Kaggle Solutions and Ideas 🏅

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

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

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: a fast, header-only C++ machine learning library

Democratizing Reinforcement Learning for LLMs

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

Simple and Distributed Machine Learning