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academy_y_data

Tutorials for YData's Fabric platform

analyzingneuraltimeseries

Code for ANTS book (Cohen, 2012, MIT Press)

ants_youtube_videos

The code and data files that accompany a 9-part lecture series on analyzing M/EEG/LFP data.

app_deep_learning

T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis

argo-graph-lite

Interactive Graph Exploration in your browser

breatheeasyeda

Matlab toolbox for Electrodermal Activity (EDA) data management, cleaning, and analysis.

c-rnn-gan.pytorch

PyTorch implementation of C-RNN-GAN for Music Generation

coms4995-s19

COMS W4995 Applied Machine Learning - Spring 19

coms4995-s20

COMS W4995 Applied Machine Learning - Spring 20

coursera-gan-specialization

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

coursera-machine-learning-engineering-for-prod-mlops-specialization

Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai

dcai-course

Introduction to Data-Centric AI, MIT IAP 2023 🤖

denoiseeeg-gan

Repository for Denoising EEG using GANs

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

feature-engineering-handbook

A practical feature engineering handbook

gan-for-tabular-data

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

gan_lstm_ecg

gan_review

A Survey and Taxonomy of the Recent GANs Development，computer vision & time series

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gans

Generative Adversarial Networks implemented in PyTorch and Tensorflow

gans-awesome-applications

Curated list of awesome GAN applications and demo

gans_experiments

Some basic GANs codes and experiments

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gui_prac_files

This repo consists of different practice files used in GUI development.

hrnv-calc

HRnV-Calc software for heart rate n-variability analysis

hux_python

icg_ostoolbox

Open Source Toolbox for ICG Analysis

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

ledalab

Skin conductance software

mad-gans

Applied generative adversarial networks (GANs) to do anomaly detection for time series data