Neurotech CourseCS198-96: Intro to Neurotechnology @ UC Berkeley
Stars: ✭ 202 (+102%)
EegruntA Collection Python EEG (+ ECG) Analysis Utilities for OpenBCI and Muse
Stars: ✭ 171 (+71%)
pyRiemannPython machine learning package based on sklearn API for multivariate data processing and statistical analysis of symmetric positive definite matrices via Riemannian geometry
Stars: ✭ 470 (+370%)
python-meegkit🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python 🧠🔧
Stars: ✭ 99 (-1%)
Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Stars: ✭ 56 (-44%)
FooofParameterizing neural power spectra into periodic & aperiodic components.
Stars: ✭ 162 (+62%)
Repo 2019BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics
Stars: ✭ 133 (+33%)
Stock Price PredictorThis project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
Stars: ✭ 146 (+46%)
Neurokit.pyA Python Toolbox for Statistics and Neurophysiological Signal Processing (EEG, EDA, ECG, EMG...).
Stars: ✭ 292 (+192%)
Tf Keras SurgeonPruning and other network surgery for trained TF.Keras models.
Stars: ✭ 25 (-75%)
DensedepthHigh Quality Monocular Depth Estimation via Transfer Learning
Stars: ✭ 963 (+863%)
RastermapA multi-dimensional embedding algorithm
Stars: ✭ 58 (-42%)
EntropyEntroPy: complexity of time-series in Python (DEPRECATED)
Stars: ✭ 142 (+42%)
Mne CppMNE-CPP: A Framework for Electrophysiology
Stars: ✭ 104 (+4%)
Course ContentNMA Computational Neuroscience course
Stars: ✭ 2,082 (+1982%)
InferpyInferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
Stars: ✭ 130 (+30%)
Analytics ZooDistributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
Stars: ✭ 2,448 (+2348%)
MoabbMother of All BCI Benchmarks
Stars: ✭ 214 (+114%)
PyriemannPython package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface
Stars: ✭ 272 (+172%)
Face Mask DetectionFace Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Stars: ✭ 774 (+674%)
FieldtripThe MATLAB toolbox for MEG, EEG and iEEG analysis
Stars: ✭ 481 (+381%)
Openbci DashboardA fullstack javascript app for capturing and visualizing OpenBCI EEG data
Stars: ✭ 82 (-18%)
antropyAntroPy: entropy and complexity of (EEG) time-series in Python
Stars: ✭ 111 (+11%)
Neuromatch AcademyPreparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities
Stars: ✭ 30 (-70%)
Unet TgsApplying UNET Model on TGS Salt Identification Challenge hosted on Kaggle
Stars: ✭ 81 (-19%)
Labml🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Stars: ✭ 508 (+408%)
Mne PythonMNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Stars: ✭ 1,766 (+1666%)
TapasTAPAS - Translational Algorithms for Psychiatry-Advancing Science
Stars: ✭ 121 (+21%)
BrainflowBrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
Stars: ✭ 170 (+70%)
Music recommenderMusic recommender using deep learning with Keras and TensorFlow
Stars: ✭ 528 (+428%)
Self Driving CarA End to End CNN Model which predicts the steering wheel angle based on the video/image
Stars: ✭ 106 (+6%)
Unet Segmentation In Keras TensorflowUNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.
Stars: ✭ 105 (+5%)
UnetGeneric U-Net Tensorflow 2 implementation for semantic segmentation
Stars: ✭ 100 (+0%)
Deeplearning.ai该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。
Stars: ✭ 181 (+81%)
Suite2pcell detection in calcium imaging recordings
Stars: ✭ 153 (+53%)
Dlpython courseПримеры для курса "Программирование глубоких нейронных сетей на Python"
Stars: ✭ 266 (+166%)
CereLinkBlackrock Microsystems Cerebus Link for Neural Signal Processing
Stars: ✭ 33 (-67%)
DinoruntutorialAccompanying code for Paperspace tutorial "Build an AI to play Dino Run"
Stars: ✭ 285 (+185%)
mne-bidsMNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
Stars: ✭ 88 (-12%)
Pytorch connectomicsPyTorch Connectomics: segmentation toolbox for EM connectomics
Stars: ✭ 46 (-54%)
Deep Residual UnetResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.
Stars: ✭ 97 (-3%)
DeeplearningPython implementation of Deep Learning book
Stars: ✭ 99 (-1%)
DopamineDopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Stars: ✭ 9,681 (+9581%)
Noisy labelsTRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
Stars: ✭ 99 (-1%)
Gp regressionA Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
Stars: ✭ 99 (-1%)
LibpysalCore components of Python Spatial Analysis Library
Stars: ✭ 99 (-1%)