Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
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Updated
Jun 3, 2024 - Python
PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab.
Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
A high-throughput and memory-efficient inference and serving engine for LLMs
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Official implementation of DrugGEN
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Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Large Language Model Text Generation Inference
📘 The MLOps stack component for experiment tracking
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
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Fast and Accurate ML in 3 Lines of Code
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Code for our paper "Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly Detection" and its extension.
Lightning support for Intel Habana accelerators.
A Long Term Training On Artificial Intelligence
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
Created by Facebook's AI Research lab (FAIR)
Released September 2016
Latest release about 2 months ago