naok

whisper

Robust Speech Recognition via Large-Scale Weak Supervision

OpenVoice

Instant voice cloning by MIT and MyShell.

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

pykan

Kolmogorov Arnold Networks

tiktoken

tiktoken is a fast BPE tokeniser for use with OpenAI's models.

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

StoryDiffusion

Accepted as [NeurIPS 2024] Spotlight Presentation Paper

grok

matmulfreellm

Implementation for MatMul-free LM.

EEG-Datasets

A list of all public EEG-datasets

llama2.mojo

Inference Llama 2 in one file of pure 🔥

Time-LLM

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

pywinassistant

The first open source Large Action Model generalist Artificial Narrow Intelligence that controls completely human user interfaces by only using natural language. PyWinAssistant utilizes Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models.

flash-linear-attention

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

arl-eegmodels

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

LLM-ToolMaker

DeepExplain

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)

TS-TCC

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

langwatch

🤖 Build AI applications with confidence ✅ DSPy Visualizer ✅ Understand how your users are using your LLM-app ✅ Get a full picture of the quality performance of your LLM-app ✅ Collaborate with your stakeholders in ONE platform ✅ Iterate towards the most valuable & reliable LLM-app.

audioldm_eval

This toolbox aims to unify audio generation model evaluation for easier comparison.

awesome-llm-time-series

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

pyeeg

Python + EEG/MEG = PyEEG

AIW

Alice in Wonderland code base for experiments and raw experiments data

Cross-Modal-Transformer

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

orca

On-device streaming text-to-speech engine powered by deep learning

articulatory

Deep Articulatory Synthesis and Inversion

meg-masc

CoRE

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

NeuroNet

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

grok_mod_poly

Code for "Interpreting Grokked Transformers in Complex Modular Arithmetic"