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DavidLucha
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A curated list of awesome Neuropixels resources.
GUI for spikeinterface objects
Tools to work with Allen Inst CCF data in matlab
phy: interactive visualization and manual spike sorting of large-scale ephys data
Python package for device control and experiment automation
NI-DAQmx API for Python, created and supported by NI
Elephant is the Electrophysiology Analysis Toolkit
A Python-based module for creating flexible and robust spike sorting pipelines.
A Python package for simulator-independent specification of neuronal network models.
Modules for processing extracellular electrophysiology data from Neuropixels probes
Supplementary material of "Deep Unsupervised Drum Transcription", ISMIR 2019
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
Portal to open data from Kamitani Lab, Kyoto Univ. and ATR. https://kamitanilab.github.io/OpenData/
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Updated Aug 4, 2023
Supplementary material for the paper "Generative Adversarial Networks Conditioned on Brain Activity Reconstruct Seen Images"
A PyTorch based Implementation of Structural Similarity Index. Wriiten along with a companion blog.
Inception Score for GANs in Pytorch
Code for the paper "Jukebox: A Generative Model for Music"
Vector Quantized VAEs - PyTorch Implementation
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
Deep learning-based Face detection using the YOLOv3 algorithm (https://github.com/sthanhng/yoloface)
Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"
Papers from the intersection of deep learning and neuroscience
Code and analysis for the paper: The feature-weighted receptive field: an interpretable encoding model for complex feature spaces