Stars
Detect and locate lung nodules from CT images with deep learning
A collection of resources and papers on Diffusion Models
SwinIR: Image Restoration Using Swin Transformer (official repository)
A Python package for fast and robust Image Stitching
PyTorch package for the discrete VAE used for DALL·E.
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Age and gender recognition using arcface and MLP.
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
NeuSpell: A Neural Spelling Correction Toolkit
🔦 A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
OpenMMLab Detection Toolbox and Benchmark
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Alzheimer's dementia classification and MMSE score regression
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Open Source Vertcoin One-Click Miner and Dogecoin wallet. Receive payouts in DOGE and more.
Deep Learning Cookbox
EfficientNet-L2 weights in Keras and retrieval script modified from qubvel/efficientnet
Keras implementation of Normalizer-Free Networks and SGD - Adaptive Gradient Clipping
Build a Jekyll blog in minutes, without touching the command line.
Tensors and Dynamic neural networks in Python with strong GPU acceleration