M

Machine Learning

🔧🔗https://github.com/Comfy-Org/ComfyUI_frontend

Official front-end implementation of ComfyUI

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

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

🔧🔗https://github.com/tensorzero/tensorzero TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation

Awesome-SVG-AIGC

https://github.com/StyleX-Research/Awesome-SVG-AIGC/ This repository catalogs cutting-edge research papers, practical tools, datasets, and learning materials for AI-powered SVG generation, processing, and manipulation.

CUA

https://github.com/trycua/cua Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).

🔧🔗https://github.com/mlflow/mlflow

Open source platform for the machine learning lifecycle

🕸️🔗https://mlflow.org/

Dyad

🔧🔗https://github.com/dyad-sh/dyad Free, local, open-source AI app builder ✨ v0 / lovable / Bolt alternative 🌟 Star if you like it!

🔧🔗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/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-docs

Public Documentation for Transformer Lab

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

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

🔧🔗https://github.com/google/grain Library for reading and processing ML training data.

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

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

VSCode Jupyter

🔧🔗https://github.com/microsoft/vscode-jupyter

VS Code Jupyter extension

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/microsoft/Trace End-to-end Generative Optimization for AI Agents

Ai Engineering Hub

🔧🔗https://github.com/patchy631/ai-engineering-hub In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

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

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

🔧🔗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