dissagaliyeva

dissagaliyeva's Stars

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python23.7k4162944.3k

• codelucas/newspaper

  newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:

  Language:Python14.1k3866752.1k

• karpathy/char-rnn

  Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

  Language:Lua11.6k5361792.6k

• sphinx-doc/sphinx

  The Sphinx documentation generator

  Language:Python6.5k1587.1k2.1k

• holoviz/panel

  Panel: The powerful data exploration & web app framework for Python

  Language:Python4.8k603.7k517

• idealo/image-super-resolution

  🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

  Language:Python4.6k102216765

• catalyst-team/catalyst

  Accelerated deep learning R&D

  Language:Python3.3k46355388

• JohannesBuchner/imagehash

  A Python Perceptual Image Hashing Module

  Language:Python3.2k65137328

• mne-tools/mne-python

  MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

  Language:Python2.7k834.8k1.3k

• oegedijk/explainerdashboard

  Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

  Language:Python2.3k22236332

• raphaelvallat/pingouin

  Statistical package in Python based on Pandas

  Language:Python1.6k32302139

• udacity/ud777-writing-readmes

  Supplemental material for Udacity's "Writing READMEs" course

  724513505

• NeuroTechX/EEG-ExPy

  EEG Experiments in Python

  Language:Python44324108125

• patrickloeber/pytorch-examples

  Language:Jupyter Notebook22642152

• sfbrigade/data-science-wg

  SF Brigade's Data Science Working Group.

  Language:Jupyter Notebook1875511269

• trainindata/feature-engineering-for-time-series-forecasting

  Code repository for the online course "Feature Engineering for Time Series Forecasting".

  Language:Jupyter Notebook170103129

• mne-tools/mne-bids-pipeline

  Automatically process entire electrophysiological datasets using MNE-Python.

  Language:Python1401432367

• the-virtual-brain/tvb-root

  Main TVB codebase

  Language:Jupyter Notebook1231222105

• takotab/fastseq

  A way to use N-Beats in fastai for sequence data

  Language:Jupyter Notebook60239

• BlueBrain/MOOC-neurons-and-synapses-2017

  Reference data for the "Simulation Neuroscience:Neurons and Synapses" Massive Online Open Course

  Language:Jupyter Notebook43244926

• primon23/Intro-Comp-Neuro

  Codes to accompany the book An Introductory Course in Computational Neuroscience

  35505

• LeonvanKouwen/elvis

  Combining holoviz panel and golden-layout in pure python.

  Language:JavaScript27836

• GriffithsLab/whobpyt

  Whole-Brain Modelling in PyTorch

  Language:Python2656922

• Rohit-Kundu/Ensemble-Pneumonia-Detection

  Based on our paper "Pneumonia Detection from Chest X-ray Images using a Novel Weighted Average Ensemble Model" published in Nature- PlosOne

  Language:Python20127

• GriffithsLab/PyTepFit

  Whole-brain modelling of TMS-EEG TEPs (Momi et al. ELife 2023)

  Language:Jupyter Notebook12113

• LEMS/pylems

  LEMS interpreter implemented in Python

  Language:Python1043117

• GriffithsLab/dl-paramest-for-neurophys-models

  Language:Jupyter Notebook9104

• woctezuma/VIA2COCO

  Convert annotations from VIA to COCO.

  Language:Python8204

• dissagaliyeva/sim2bids

  App to load, transform & download BIDS compliant data

  Language:HTML3102

• dissagaliyeva/computational_neuroscience

  Language:Jupyter Notebook2100