Repository Index

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

• python
• text-to-speech
• deep-learning
• speech

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

• pytorch
• resnet
• pretrained-models
• pretrained-weights

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

• artificial-intelligence
• attention-mechanism
• transformers
• computer-vision

:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

• deep-learning
• text-to-speech
• python
• pytorch

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.

Deep probabilistic analysis of single-cell and spatial omics data

• scrna-seq
• variational-bayes
• variational-autoencoder
• cite-seq

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

• medical-imaging
• medical-ai
• deep-learning
• machine-learning

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

• kmer
• dnabert-model
• kmer-format
• gpu

LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

• pytorch
• semantic-segmentation
• cityscape-dataset
• lednet

Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images

Deep and Machine Learning for Microscopy

• microscopy
• materials
• machine-learning
• materials-science

Learning cell communication from spatial graphs of cells

• tensorflow
• gnn
• glm
• cvae

Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders

• epigenomics
• pattern-search
• data-visualization
• interactive-machine-learning