mafrasiabi Goto Github PK

bayes_tutorial_2019

Introductory overview of Bayesian inference

bda_course_aalto

Bayesian Data Analysis course at Aalto

bda_py_demos

Bayesian Data Analysis demos for Python

bios-823-2019

bios6301

Biostatistics 301: Introduction to Statistical Computing

biostatistics-review

Class material for CFAR Biostatistics Review sesssions

braindecode

A deep learning toolbox to decode raw time-domain EEG.

brainpipe

Bridge between neural signal datasets and machine learning

challenges-in-disentangling

This repository contains a pytorch implementation for the paper: Challenges in Disentangling Independent Factors of Variation (https://arxiv.org/abs/1711.02245), which was accepted at ICLR 2018's workshop track.

circulargraph

Plot an interactive circular graph to illustrate connections in a network in MATLAB.

cnjc-code

Code for and from meetings of the Stanford CNJC

code_glm

Generalized Linear Model (GLM) point process model for spike trains - matlab code by J Pillow

cogs118c

COGS118C [Neural Signal Processing] @ UCSanDiego

computational-statistics-with-python

Resources for STA 633 class

cs224n

Notes and Codes for Stanford Open Course: DL in NLP

cshl-summer-2015

Lecture at CSHL summer course on neural data analysis

cycle-consistent-vae

This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (https://arxiv.org/abs/1804.10469), which was accepted at ECCV 2018.

d-n-n_health-care

datacamp

DataCamp data-science courses

datahigh

DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity

dataset-dimensionality-reduction-python

Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dimensional datasets.

david-silver-reinforcement-learning

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

ddc_ssm

ddcrp

Bayesian non-parametric algorithm for clustering data based on the Chinese Restaurant Process.

decoding_ecog

Decoding the effect of specific stimuli on the high frequency and event-related potential ECoG activity of the brain, using machine learning and signal processing techniques.

deep-learning-drizzle

Drench yourself in Deep Learning & Reinforcement Learning by learning from these exciting lectures!!

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deepinsight

A general framework for interpreting wide-band neural activity

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.