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.

Language:PythonLicense:NOASSERTIONStargazers:389Issues:0Issues:0
Language:PythonStargazers:64Issues:0Issues:0
Language:Jupyter NotebookLicense:MITStargazers:42Issues:0Issues:0

eeg_encoding

Use DNNs to build encoding models of EEG visual responses.

Language:PythonLicense:MITStargazers:60Issues:0Issues:0

pandas-ai

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

Language:PythonLicense:NOASSERTIONStargazers:12080Issues:0Issues:0

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Language:PythonLicense:MITStargazers:18935Issues:0Issues:0

Applied-Deep-Learning

Applied Deep Learning Course

Stargazers:3039Issues:0Issues:0

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.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:45668Issues:0Issues:0

CLIP_prefix_caption

Simple image captioning model

Language:Jupyter NotebookLicense:MITStargazers:1270Issues:0Issues:0

deep-textures

Unofficial Reimplementation of "Texture Synthesis Using Convolutional Neural Networks" in PyTorch [Gatys et al. 2015](http://arxiv.org/abs/1505.07376)

Language:Jupyter NotebookStargazers:6Issues:0Issues:0
Language:Jupyter NotebookStargazers:107Issues:0Issues:0

DeepTextures

Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)

Language:Jupyter NotebookStargazers:273Issues:0Issues:0

OpenAI-CLIP

Simple implementation of OpenAI CLIP model in PyTorch.

Language:Jupyter NotebookLicense:MITStargazers:578Issues:0Issues:0

ImageNet2COCO

A demo for mapping class labels from ImageNet to COCO.

Language:Jupyter NotebookStargazers:10Issues:0Issues:0

UberNet

Demo for CVPR 2017 paper

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:100Issues:0Issues:0

switch-cuda

A simple bash script for switching between installed versions of CUDA.

Language:ShellLicense:MITStargazers:566Issues:0Issues:0

lama

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:7596Issues:0Issues:0

svrhm21_RNN_explain

Code and data accompanying our SVRHM'21 paper.

Language:Jupyter NotebookLicense:MITStargazers:8Issues:0Issues:0

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Language:PythonLicense:NOASSERTIONStargazers:24420Issues:0Issues:0

unsup_vvs

Unsupervised deep convolutional neural network model for the ventral visual stream.

Language:PythonStargazers:25Issues:0Issues:0
Language:Jupyter NotebookLicense:GPL-3.0Stargazers:7Issues:0Issues:0

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

Language:PythonStargazers:15Issues:0Issues:0

places365

The Places365-CNNs for Scene Classification

Language:PythonLicense:MITStargazers:1891Issues:0Issues:0

PSGNets

Neural Networks that convert input movies into Physical Scene Graphs (PSGs)

Language:PythonStargazers:61Issues:0Issues:0

neural_cotraining

The code for performing MTL on object recognition with neural data

Language:PythonLicense:MITStargazers:13Issues:0Issues:0
Language:PythonStargazers:133Issues:0Issues:0

U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

Language:PythonLicense:Apache-2.0Stargazers:8352Issues:0Issues:0

u2netdemo

Demonstration using Google Colab to show how U-2-NET can be used for Background Removal, Changing Backgrounds, Bounding Box Creation, Salient Feature Highlighting and Salient Object Cropping.

Language:Jupyter NotebookLicense:MITStargazers:198Issues:0Issues:0

pix2pix-zero

Zero-shot Image-to-Image Translation [SIGGRAPH 2023]

Language:PythonLicense:MITStargazers:1031Issues:0Issues:0

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.

Language:PythonLicense:MITStargazers:6497Issues:0Issues:0