Jessica Loke's starred repositories
brainmagick
Training and evaluation pipeline for MEG and EEG brain signal encoding and decoding using deep learning. Code for our paper "Decoding speech perception from non-invasive brain recordings" published in Nature Machine Intelligence, 2023.
eeg_encoding
Use DNNs to build encoding models of EEG visual responses.
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Applied-Deep-Learning
Applied Deep Learning Course
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
CLIP_prefix_caption
Simple image captioning model
deep-textures
Unofficial Reimplementation of "Texture Synthesis Using Convolutional Neural Networks" in PyTorch [Gatys et al. 2015](http://arxiv.org/abs/1505.07376)
DeepTextures
Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)
OpenAI-CLIP
Simple implementation of OpenAI CLIP model in PyTorch.
ImageNet2COCO
A demo for mapping class labels from ImageNet to COCO.
switch-cuda
A simple bash script for switching between installed versions of CUDA.
svrhm21_RNN_explain
Code and data accompanying our SVRHM'21 paper.
BrainScore-Transformers
Code from the paper "Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4" in BSW at Cosyne 2022
neural_cotraining
The code for performing MTL on object recognition with neural data
pix2pix-zero
Zero-shot Image-to-Image Translation [SIGGRAPH 2023]
backgroundremover
Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.