meagmohit

meagmohit's Stars

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python198k5.9k1.6k46.3k

• kdn251/interviews

  Everything you need to know to get the job.

  Language:Java64k2.6k5312.9k

• adam-p/markdown-here

  Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

  Language:JavaScript59.8k1k62411.2k

• chiphuyen/machine-learning-systems-design

  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

  Language:HTML9.3k301101.5k

• tkipf/gcn

  Implementation of Graph Convolutional Networks in TensorFlow

  Language:Python7.2k1561942k

• meagmohit/EEG-Datasets

  A list of all public EEG-datasets

  2.4k9516554

• kuz/DeepMind-Atari-Deep-Q-Learner

  The original code from the DeepMind article + my tweaks

  Language:Lua1.8k15334534

• nayafia/microgrants

  A list of microgrant programs for your good ideas

  1.5k652269

• vEnhance/napkin

  An Infinitely Large Napkin

  Language:TeX1.4k4568135

• vlawhern/arl-eegmodels

  This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

  Language:Python1.2k4142305

• NeuroTechX/awesome-bci

  Curated Collection of BCI resources

  1.2k11910252

• NeuroTechX/moabb

  Mother of All BCI Benchmarks

  Language:Python74031293186

• pyRiemann/pyRiemann

  Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

  Language:Python66330108166

• MahanFathi/CS231

  Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

  Language:Jupyter Notebook376123152

• mohitzsh/ML-Interview

  Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.

  3068054

• curiositry/EEGrunt

  A Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse

  Language:Python244231271

• alexandrebarachant/bci-challenge-ner-2015

  Code and documentation for the winning solution to the BCI Challenge @ NER 2015 : https://www.kaggle.com/c/inria-bci-challenge

  Language:Python19419575

• hubertjb/dl-eeg-review

  Supplementary material for systematic literature review on deep learning and EEG.

  Language:Python15515432

• RatulSaha/leetcode

  The mediocre solutions to leetcode problems using Python

  Language:Python1284056

• garethjns/Kaggle-EEG

  Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.

  Language:MATLAB10471828

• johannah/bootstrap_dqn

  Implementation of Bootstrap DQN and Randomized Prior Functions on ALE

  Language:Python553014

• maxwass/all_of_statistics_solns

  Some worked exercises from Larry Wasserman's "All of Statistics"

  Language:Python42309

• ubamba98/CS231n-2019

  Notes and assignment solution to http://cs231n.stanford.edu

  Language:Jupyter Notebook232015

• NanditaDamaraju/Deep-Learning-Melanoma

  Classification and Segmentation of melanoma images using Deep Learning

  Language:Python17526

• asrivast28/ramBLe

  A Parallel Framework for Bayesian Learning

  Language:C++14304

• xiangzhang1015/MindID

  Mindid: Person identification from brain waves through attention-based recurrent neural network

  Language:Python6204

• asrivast28/ParsiMoNe

  Parallel Construction of Module Networks

  Language:C++5311