cswin Goto Github PK

danet

Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation (ECCV 2020) (Pytorch)

deep-fmri-dataset

Code accompanying data release of natural language listening fMRI data (LeBel et al.)

deep-learning-for-causal-inference

Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deepmousetrap

Mouse Brain in the Model Zoo

dlag

A dimensionality reduction framework for disentangling the flow of signals between populations of neurons

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

e-mtab-6141

Data from Lewis, Barnes, Blighe et al., Cell Rep. 2019 Aug 27; 28(9): 2455–2470.e5.

essentialmath

evonet

Deep evolutionary networks with expedited genetic algorithms for medical image denoising

experimental-psychology

Course materials for PSYC 11: Laboratory in Psychological Science, Dartmouth College (Instructor: Jeremy Manning)

face

feature-extraction

Computer vision feature extraction toolbox for image classification

feedback-networks

The repo of Feedback Networks, CVPR17

figurebest-2.0

A MATLAB plugin for automatic beautification of data plots (.fig)

floc-version-1

Functional Localizer

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

glm-hmm

Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IBL, Churchland, Pouget and Pillow (2021)

glmhmm

code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)

glmsingle

A toolbox for accurate single-trial estimates in fMRI time-series data

handwritingbci

Code from the paper "High-Performance Brain-to-Text Communication via Handwriting"

hdbscan

A high performance implementation of HDBSCAN clustering.

health-lesion-stovol

healthy and lesion models for learning based on the joint estimation of stochasticity and volatility

himalaya

Multiple-target linear models - CPU/GPU

hpc_manifolds

Analysis of hippocampal activity in the towers task

human-centered-machine-learning

Schedule and Syllabus for Human-Centered Machine learning.

iaps

Utilities for International Affective Picture System

image_segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

kerastutorial

This is a tutorial for the beginners of loving deep learning. We start from Keras with some simple demos, including CNNs, RNNs, and GANs.