Popular GitHub Repositories for Residual Blocks

? Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

? Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

MuZero

3D U-Net model for volumetric semantic segmentation written in pytorch

Core building blocks for AI apps. High-quality, accessible, and customizable components for AI interfaces.

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

Building blocks for rapid development of GenAI applications

Implementation of Natural Speech 2, Zero-shot Speech and Singing Synthesizer, in Pytorch

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Play deep learning with CIFAR datasets

Straightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

Build high-performance AI models with modular building blocks

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.