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Copy playlists and liked music from Spotify to YTMusic
Library for fast text representation and classification.
Collection of training data management explorations for large language models
View disk space usage and delete unwanted data, fast.
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
This is the development home of the workflow management system Snakemake. For general information, see
Modalities, a PyTorch-native framework for distributed and reproducible foundation model training.
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
Code for ICLR 2023 Paper on Variation in Latent Representations
Generate regular expressions from sample texts.
🌈Rainbow Brackets for IntelliJ based IDEs/Android Studio/HUAWEI DevEco Studio/Fleet
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
A modular RL library to fine-tune language models to human preferences
Convert Machine Learning Code Between Frameworks
A python script for checking BibLatex .bib files for common referencing mistakes!
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
Firefox extension for managing tabs and bookmarks in sidebar.
Source code for "Influencing Long-Term Behavior in Multiagent Reinforcement Learning" (NeurIPS 2022)
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.