Popular GitHub Repositories for Autoai Experiment

CLI platform to experiment with codegen. Precursor to: https://lovable.dev

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

? Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 ?

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

? Monitor deep learning model training and hardware usage from your mobile phone ?

Open Source ML Model Versioning, Metadata, and Experiment Management

Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API ?

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.

Python AI assistant ?

This Repositry is an experiment with an agent that searches documents and asks questions repeatedly in response to the main question. It automatically determines the optimal answer from the current documents or recognizes when there is no answer.

Visualise your Kedro data and machine-learning pipelines and track your experiments.

? The experiment tracker for foundation model training

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution