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Search results for deep learning neuroscience
deep-learning
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neuroscience
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46 search results found
Awesome Neural Geometry
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785
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
Braindecode
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638
Deep learning software to decode EEG, ECG or MEG signals
Csinva.github.io
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515
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
Lava
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471
A Software Framework for Neuromorphic Computing
Awesome Neuro Ai Papers
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345
Papers from the intersection of deep learning and neuroscience
Deepeeg
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180
Deep Learning with Tensor Flow for EEG MNE Epoch Objects
Cellfinder
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170
Automated 3D cell detection in very large images
Pytorch_connectomics
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151
PyTorch Connectomics: segmentation toolbox for EM connectomics
Facemap
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147
Framework for predicting neural activity from mouse orofacial movements tracked using a pose estimation model. Package also includes singular value decomposition (SVD) of behavioral videos.
Vame
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140
Variational Animal Motion Embedding - A tool for time series embedding and clustering
Artificial Intelligence And Machine Learning
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135
A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm
Torchga
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78
Train PyTorch Models using the Genetic Algorithm with PyGAD
Nengo Dl
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77
Deep learning integration for Nengo
Kfs
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69
Keras for Science
Deepslice
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56
A python package which aligns histology to the Allen Brain Atlas and Waxholm rat atlas using deep learning.
Ccn_association
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48
认知计算神经联盟 讨论会
Quicknatv2
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47
Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)
References Articles Computer Science
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45
Repository of textbooks and articles in Computer Science
Bnn Ann Papers
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41
Papers : Biological and Artificial Neural Networks
Lfads Torch
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34
A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
Harmonization
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34
👋 Aligning Human & Machine Vision using explainability
Brain Mri Age Classification Using Deep Learning
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32
MATLAB example using deep learning to classify chronological age from brain MRI images
Pytorch Prednet
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32
PredNet implementation using PyTorch
Assemblynet
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31
AssemblyNet: 3D Whole Brain MRI segmentation pipeline
Hippmapp3r
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27
AICONSlab's hippocampal segmentation algorithm using CNNs
Braph 2
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24
BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research.
Graph_saliency_maps
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24
Graph saliency maps through spectral convolutional networks for brain mapping
Neuroaid
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20
⚡ 📚 Papers and other material for getting started with Neuro-AI! 🧠 💥
Abnormal Eeg Signal Classification Using Cnns
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20
This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.
Neuroevolutionmarkettrader
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19
Neuro evolution agent to buy and sell stocks atumatically
Ndl_mni
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18
Github repository for Neuroscience and Deep Learning reading group at the Montreal Neurological Institute
Autolfads Tf2
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16
A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
Angorapy
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15
Build Goal-driven Models of the Sensorimotor Cortex with Ease.
Eeg Self Supervision
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15
Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!
Artificial Neural Variability For Deep Learning
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14
The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization. The algorithms are based on the original paper: Artificial Neural Variability for Deep Learning: On overfitting, Noise Memorization, and Catastrophic Forgetting.
Neurotorch
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13
Biologically based dynamics for machine learning and deep learning tools for neuroscience.
Icvmapp3r
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12
AICONSlab's brain extraction (skull-stripping) algorithm using CNNs
365 Days Of Code 2022
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12
This coding challenge is created by Eda AYDIN. This coding challenge aims to progress from Python programming to Computer Vision, Natural Language Processing in Artificial Intelligence and Neuroscience.
Neural_pre_processing
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11
Neural Pre Processing is an end-to-end weakly supervised learning approach for converting raw head MRI images to intensity-normalized, skull-stripped brain in a standard coordinate space
Ml4ns
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11
Machine Learning for Neuroscience Module (https://www.imperial.ac.uk/study/courses/postgrad
Dstrf
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11
Dynamic Spectrotemporal Receptive Field (dSTRF) Analysis Toolbox
Meg Group Decode
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10
Train Wavenet-based group-level models on MEG data, and uncover neuroscientifically interpretable information.
Qsnns
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9
Quantization-aware training with spiking neural networks
Neuromatic
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9
A neural network abstraction for C# inspired by Keras
Papers
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7
Collection of papers in machine learning, deep learning and neuroscience
Maguire Lab Seizure Detection Webapp
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7
🧠 Maguire Lab's Deep Learning Seizure Detection WebApp.
Brain Computer Interface Cybathlon2020
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7
Master thesis subject: Leveraging Deep Learning for Real-time EEG Classification at Cybathlon's BCI-race
Machine Learning Portfolio
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7
Assorted machine learning implementations for medical data
Candidate_models
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7
Candidate Models to evaluate on Brain-Score benchmarks
Predictive Coding
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6
Research of a deep predictive coding model for unsupervised representation learning from video and audio data.
Read Love Pray
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5
📑 A list of papers I particularly enjoy
Master Thesis
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5
Deep Learning and Transfer Learning in EEG Saliency Detection
Holomorphic_eqprop
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5
Repository to reproduce the results of the paper "Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations"
Guillaumebellec.github.io
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5
Personal website
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1-46 of 46 search results
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