Machine Learning

https://github.com/Lightning-AI/torchmetrics Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications. 🔗 https://lightning.ai/docs/torchmetrics/

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

huggingface.co/transformers https://github.com/huggingface/transformers

https://github.com/Lightning-AI/pytorch-lightning 🔗 lightning.ai Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

https://github.com/roboflow/inference A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.

🔧🔗https://github.com/transformerlab/transformerlab-api

API Server for Transformer Lab

🔧🔗https://github.com/transformerlab/transformerlab-app Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computer

🔧🔗https://github.com/transformerlab/transformerlab-docs

Public Documentation for Transformer Lab

🔧🔗https://github.com/modelscope/modelscope

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

🔧🔗https://github.com/andrewkchan/yalm

Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O

🔧🔗https://github.com/HumanSignal/label-studio-ml-backend

Configs and boilerplates for Label Studio's Machine Learning backend

🔧🔗 meta-llama/llama-recipes Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs.

https://github.com/Lightning-AI/lightning-Habana Lightning support for Intel Habana accelerators.

https://github.com/roboflow/roboflow-python The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

A curated list of awesome Machine Learning frameworks, libraries and software.

🔧🔗https://github.com/microsoft/Trace End-to-end Generative Optimization for AI Agents

🔧🔗github.com/bytedance/CausalMatch

CausalMatch is a research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about automation in decision-making processes

🔧🔗https://github.com/transformerlab/galleries

Galleries for Models, Datasets, and Plugins used by Transformer Lab

🔧🔗https://github.com/yohasebe/wp2txt

A command-line toolkit to extract text content and category data from Wikipedia dump files

🔧🔗https://github.com/IAHispano/Audio-Upscaler Versatile AI-driven audio upscaler to enhance the quality of any audio.