giulianogiari

giulianogiari's Stars

• mrdbourke/pytorch-deep-learning

  Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

  Language:Jupyter Notebook10.9k3.2k

• networkx/networkx

  Network Analysis in Python

  Language:Python14.9k3.3k

• gyyang/nn-brain

  Tutorial codes for modeling brains with neural nets

  Language:Jupyter Notebook20864

• neurogym/neurogym

  A curated collection of neuroscience tasks with a common interface.

  Language:Python25150

• udlbook/udlbook

  Understanding Deep Learning - Simon J.D. Prince

  Language:Jupyter Notebook6.5k1.3k

• mackelab/phase-limit-cycle-RNNs

  Code for "Trained recurrent neural networks develop phase-locked limit cycles in a working memory task" - Matthijs Pals (@matthijspals) , Jakob Macke and Omri Barak.

  Language:Python53

• mackelab/sequence-memory

  Code for Liebe et al. "Phase of firing does not reflect temporal order in sequence memory of humans and recurrent neural networks", code by Matthijs Pals (@matthijspals)

  Language:Jupyter Notebook21

• tqdm/tqdm

  :zap: A Fast, Extensible Progress Bar for Python and CLI

  Language:Python28.7k1.4k

• OHBA-analysis/osl-dynamics

  Methods for studying dynamic functional brain activity in neuroimaging data.

  Language:Python6018

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—foundation models

  Language:Python18.5k1.4k

• mne-tools/mne-connectivity

  Connectivity algorithms that leverage the MNE-Python API.

  Language:Python6834

• pactools/pactools

  Phase-amplitude coupling (PAC) toolbox

  Language:Python8935

• lschwetlick/EngbertMicrosaccadeToolbox

  Language:Python62

• ContextLab/human-memory

  Course materials for Dartmouth course: Human Memory (PSYC 51.09)

  Language:TeX25414

• lkorczowski/BCI-2021-Riemannian-Geometry-workshop

  Riemannian Geometry workshop at vBCI Meeting 2021

  Language:Jupyter Notebook519

• data-psl/lectures2020

  Language:Jupyter Notebook4515

• pymc-devs/pymc-resources

  PyMC educational resources

  Language:Jupyter Notebook2k743

• sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python

  Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

  Language:Jupyter Notebook333184

• rougier/scientific-visualization-book

  An open access book on scientific visualization using python and matplotlib

  Language:Python10.7k991

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook21.9k8.4k

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.4k3.3k

• charlesfrye/AppliedStatisticsForNeuroscience

  Materials for UC Berkeley Neuroscience 299

  Language:Jupyter Notebook5217

• ageron/handson-ml3

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook7.8k3.1k

• mne-tools/mne-bids-pipeline

  Automatically process entire electrophysiological datasets using MNE-Python.

  Language:Python14067

• brainthemind/CogBrainDyn_MEG_Pipeline

  Template for a group study using the MNE Python software

  Language:Python911

• katduecker/dnn_osci

  Language:Jupyter Notebook3

• nbara/python-meegkit

  🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python

  Language:Python18250

• skrub-data/skrub

  Prepping tables for machine learning

  Language:Python1.2k97

• google-deepmind/graphcast

  Language:Python4.6k587

• INRIA/scikit-learn-mooc

  Machine learning in Python with scikit-learn MOOC

  Language:Jupyter Notebook1.1k508