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[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

The simplest, fastest repository for training/finetuning medium-sized GPTs.

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

Visualizer for neural network, deep learning and machine learning models

LlamaIndex is a data framework for your LLM applications

Implementations of various published works on self-supervised learning approaches to biosignal feature extraction.

PyTorch implementation of Contrastive Learning methods

Code and hyperparameters for the paper "Generative Adversarial Networks"

Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".

[IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"

🦜🔗 Build context-aware reasoning applications

[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

PyTorch implementation of the InfoNCE loss for self-supervised learning.

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

LLM inference in C/C

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

A python toolkit for parsing captions (in natural language) into scene graphs (as symbolic representations).

An open software package dedicated for the development of Brain-Computer Interfaces with various advanced pattern recognition algorithms

Multi-Source Affective Classification EEG Framework with Private Encoders

[ICCV 2021] Official code for "Learning to Generate Scene Graph from Natural Language Supervision"

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

[ICML 2021] Self-supervised pre-training of AI models on ECG data with CLOCS

Diffusion model papers, survey, and taxonomy

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

Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

Code and documentation to train Stanford's Alpaca models, and generate the data.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.