Repository Index

Convolutional Neural Networks

Graph Neural Network Library for PyTorch

• pytorch
• geometric-deep-learning
• graph-neural-networks
• deep-learning

A High-Quality Real Time Upscaler for Anime Video

• anime
• upscaling
• upsampling
• video-processing

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

• mnn
• convolution
• vulkan
• embedded-devices

🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js

• neural-network
• brain
• recurrent-neural-networks
• easy-to-use

A MNIST-like fashion product database. Benchmark :point_down:

• mnist
• deep-learning
• benchmark
• machine-learning

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

• attention
• pytorch
• paper
• cbam

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

• segmentation
• image-processing
• pspnet
• unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

• pytorch
• unet
• pytorch-unet
• semantic-segmentation

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

• inpainting
• inpainting-methods
• inpainting-algorithm
• computer-vision

Techniques for deep learning with satellite & aerial imagery

• deep-learning
• deep-neural-networks
• satellite-imagery
• pytorch

Learning Convolutional Neural Networks with Interactive Visualization.

• deep-learning
• visualization
• interactive-visualizations
• visual-learning

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

• tensorflow
• graph
• darknet
• deep-learning

Imaging is a simple image processing package for Go

• image
• resize
• crop
• rotate

Convolutional Neural Network for Text Classification in Tensorflow

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

A simple, fully convolutional model for real-time instance segmentation.

• realtime
• real-time
• instance-segmentation
• yolact

links to conference publications in graph-based deep learning

• graph-neural-networks
• graph-convolutional-networks
• graph
• deep-learning

A collection of important graph embedding, classification and representation learning papers with implementations.

• graph2vec
• classification-algorithm
• graph-kernels
• weisfeiler-lehman

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

• tensorflow
• machine-learning
• regression
• convolutional-neural-networks

Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.

• onednn
• oneapi
• performance
• cpp

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

A best practice for tensorflow project template architecture.

• tesnorflow
• software-engineering
• oop
• deep-learning