jeffheaton/app_deep_learning
quality grade B, 65 out of 100T81-558: PyTorch - Applications of Deep Neural Networks, Washington University in St. Louis
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Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,663 results
T81-558: PyTorch - Applications of Deep Neural Networks, Washington University in St. Louis
Visualization tool for Graph Neural Networks
The iOS and OS X neural network framework
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
GraphGallery is a gallery for benchmarking Graph Neural Networks
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)
Implementing multilayer neural networks through backpropagation using Java.
Compare neural networks by their feature similarity
Dynamic Neural Networks Architect
CuPy fused PyTorch neural networks ops
Flexible simulation package for optical neural networks
Effective Video Augmentation Techniques for Training Convolutional Neural Networks
PyTorch implementation of SLAYER for training Spiking Neural Networks
Deep neural networks for density functional theory Hamiltonian.
Control adaptive filters with neural networks.
Building a simple neural network in Go
A header-only C++ library for deep neural networks
My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
Benchmarking Neural Network Inference on Mobile Devices
Training Deep Neural Networks with binary weights during propagations
Neural network implementation on golang
Action recognition using soft attention based deep recurrent neural networks
Sample code from the Neural Networks from Scratch book.
Graph Neural Networks for Social Recommendation, WWW'19
24,545 repositories in the index in total.