Popular GitHub Repositories for Crowdsource Experiments

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.

? Data Versioning and ML Experiments

Image augmentation for machine learning experiments.

? Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Cool experiments at the intersection of Computer Vision and Sports ??

a delightful machine learning tool that allows you to train, test, and use models without writing code

List of papers, code and experiments using deep learning for time series forecasting

Evaluation and Tracking for LLM Experiments

Your Automatic Prompt Engineering Assistant for GenAI Applications

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

? Interactive Machine Learning experiments: ?️models training + ?models demo

Hyperparameter Experiments with TensorFlow and Keras

? ? Point your camera at things to hear how to say them in a different language

Videos, notes and experiments to understand deep learning

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

An implementation of Tacotron 2 that supports multilingual experiments with parameter-sharing, code-switching, and voice cloning.

Experiments for understanding disentanglement in VAE latent representations

GPU-Jupyter: Your GPU-accelerated JupyterLab with a rich data science toolstack, TensorFlow and PyTorch for your reproducible deep learning experiments.

Python library to easily log experiments and parallelize hyperparameter search for neural networks