Ray
ray-project
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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ray-project
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
mlabonne
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
modelscope
ModelScope: bring the notion of Model-as-a-Service to life.
Angel-ML
A Flexible and Powerful Parameter Server for large-scale machine learning
apple
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
bitsandbytes-foundation
Accessible large language models via k-bit quantization for PyTorch.
huggingface
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
Lightning-AI
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
shap
A game theoretic approach to explain the output of any machine learning model.
meta-llama
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to e…
roboflow
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
opengeos
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)