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A curated list of awesome Machine Learning frameworks, libraries and software.
Open standard for machine learning interoperability
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
A framework for few-shot evaluation of language models.
Largest list of models for Core ML (for iOS 11+)
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
An Open-Source Framework for Prompt-Learning.
Toolkit for creating, sharing and using natural language prompts.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Run Mixtral-8x7B models in Colab or consumer desktops
Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image …
A Python package to assess and improve fairness of machine learning models.
A benchmark to evaluate language models on questions I've previously asked them to solve.
[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
Interpretability for sequence generation models 🐛 🔍
A novel approach for synthesizing tabular data using pretrained large language models
MediaWiki API wrapper in python http://pymediawiki.readthedocs.io/en/latest/
TEACh is a dataset of human-human interactive dialogues to complete tasks in a simulated household environment.
TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
Data and code for the Corr2Cause paper (ICLR 2024)
[NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors