Cosmos is a world model development platform that consists of world foundation models, tokenizers and video processing pipeline to accelerate the development of Physical AI at Robotics & AV labs. C…

A suite of image and video neural tokenizers

Make websites accessible for AI agents

Our image tracking library for KudanAR

Official inference framework for 1-bit LLMs

Bring projects, wikis, and teams together with AI. AppFlowy is the AI collaborative workspace where you achieve more without losing control of your data. The leading open source Notion alternative.

Implementation of E2-TTS, "Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS", in Pytorch

ShellSage saves sysadmins’ sanity by solving shell script snafus super swiftly

LSD-SLAM

PyTorch implementation of WaveFit [2022, Google] which is one of SOTA lightweight/fast speech vocoders.

A language model programming library.

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

🚀 Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton

Implementation for MatMul-free LM.

Alice in Wonderland code base for experiments and raw experiments data

The ultimate LLM Ops platform - Monitoring, Analytics, Evaluations, Datasets and Prompt Optimization ✨

Code for the paper: "Towards Empirical Interpretation of Internal Circuits and Properties in Grokked Transformers on Modular Polynomials"

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

tracking papers, datasets, and models of "large language model (LLM) for time series"

LLM as Interpreter for Natural Language Programming, Pseudo-code Programming and Flow Programming of AI Agents

Deep Articulatory Synthesis and Inversion

Official repository of cross-modal transformer for interpretable automatic sleep stage classification. https://arxiv.org/abs/2208.06991

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

[Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG

A list of all public EEG-datasets

A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

Python + EEG/MEG = PyEEG

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow