Run Keras models in the browser, with GPU support provided by WebGL 2.
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An early look our AI Music experiment - YouTube Blog uses AI for speech, voice, transcription, music, or other audio workflows.
Collection of prompt patterns, experiments, and research around agentic AI workflows and prompting strategies.
An experimental open-source attempt to make GPT-4 fully autonomous.
Library of ML-Engineering tools for rapid prototyping and experiment management.
Reinforcement Learning Coach by IntelĀ® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms.
Track your datasets, code changes, experimentation history, and models.
Curate and annotate vision, audio, and LLM datasets, track experiments, and manage models on a single platform.
A tool that experiments the motto "let the code write itself".
Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.
Data Version Control - Git for Data & Models - ML Experiments Management.
Python library for experiment metrics logging into simply formatted local files.
Open-solution-home-credit - source code and for Home Credit Default Risk.
Collection of patterns for experimenting with agents, llm pipelines, and ChainOfThoughtStrategy.
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
Google tool for building, testing, and experimenting with Gemini prompts, models, and API workflows.
Google tool for building, testing, and experimenting with Gemini prompts, models, and API workflows.
Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model.
Experiment tracking, ML developer tools.
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. opensource.
Open source ML model versioning, metadata, and experiment management.
The most lightweight experiment management tool that fits any workflow.
A completely unstable and experimental package that extends Torch's builtin nn library.