Bindsnet
BindsNET
Simulation of spiking neural networks (SNNs) using PyTorch.
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Results: 82
BindsNET
Simulation of spiking neural networks (SNNs) using PyTorch.
junyanz
Interactive Image Generation via Generative Adversarial Networks
c2g-dev
Transform geospatial relations into graphs for Graph Neural Networks and network analysis
POSTECH-CVLab
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
richzhang
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
jekyll
A Jekyll plugin to add metadata tags for search engines and social networks to better index and display your site's content.
adambielski
Siamese and triplet networks with online pair/triplet mining in PyTorch
rasbt
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
K-Dense-AI
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, sin…
jik876
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
pannous
🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
r9y9
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
rootsongjc
Setting up a distributed Kubernetes cluster along with Istio service mesh locally with Vagrant and VirtualBox, only PoC or Demo use.
chelsea0x3b
Deep learning in Rust, with shape checked tensors and neural networks
szilard
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of…
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