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Using vision-language models to decode natural image perception from non-invasive brain recordings.
Integrate the DeepSeek API into popular softwares
Xray panel supporting multi-protocol multi-user expire day & traffic & IP limit (Vmess & Vless & Trojan & ShadowSocks & Wireguard)
SEED-Voken: A Series of Powerful Visual Tokenizers
[ICLR 2025] Repository for Show-o, One Single Transformer to Unify Multimodal Understanding and Generation.
Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream
Pytorch code of paper "Learning Robust Deep Visual Representations from EEG Brain Recordings". [WACV 2024]
[ICLR25] High-performance Image Tokenizers for VAR and AR
Code related to analyzing the Natural Scenes Dataset
Toward Generalizing Visual Brain Decoding to Unseen Subjects
🔥stable, simple, state-of-the-art VQVAE toolkit & cookbook
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
Official Implemetation of ConfDiff (ICML'24) - Protein Conformation Generation via Force-Guided SE(3) Diffusion Models
A framework for evaluating models on their alignment to brain and behavioral measurements (100+ benchmarks)
A smaller subset of 10 easily classified classes from Imagenet, and a little more French
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Simple MAE (masked autoencoders) with pytorch and pytorch-lightning.
Functions to generate neural responses for arbitrary stimuli using trained encoding models.
Simple and easy to understand PyTorch implementation of Vision Transformer (ViT) from scratch, with detailed steps. Tested on common datasets like MNIST, CIFAR10, and more.