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awesome-nerf

A curated list of awesome neural radiance fields papers

bdpy

Python package for brain decoding analysis (BrainDecoderToolbox2 data format, machine learning analysis, functional MRI)

brain-decoding-cookbook-public

bwas

A Python software package for BWAS

chengfanbrain

Config files for my GitHub profile.

cocoapi

COCO API - Dataset @ http://cocodataset.org/

consistency_models

Official repo for consistency models.

deepimagereconstruction

Data and demo codes for Shen, Horikawa, Majima, and Kamitani (2019) Deep image reconstruction from human brain activity. PLoS Comput. Biol. http://dx.doi.org/10.1371/journal.pcbi.1006633.

deepmice

diffusion-gan

Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion

fmriprep

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

generate_adversarial_images_for_dnns_and_brain

Generate adversarial images that fool multiple DNNs and human brain

idr

illusionreconstruction

A reconstruction framework for materializing subjective experiences from brain signals

mipnerf

nerf

Code release for NeRF (Neural Radiance Fields)

pixyzoo

Implementation codes of deep generative models with Pixyz

prml

PRML algorithms implemented in Python

pseudo_lidar

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

pseudo_lidar_v2

(ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

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.