xiaosongwang

detr

End-to-End Object Detection with Transformers

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

Pytorch-UNet

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

LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

learn-python3

Jupyter notebooks for teaching/learning Python 3

darkflow

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

MONAI

AI Toolkit for Healthcare Imaging

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

generative_inpainting

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

jetbot

An educational AI robot based on NVIDIA Jetson Nano.

Self-Attention-GAN

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

simplify-js

High-performance JavaScript polyline simplification library

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

Attention-Gated-Networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

superpoint_graph

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

polyrnn-pp-pytorch

PyTorch training/tool code for Polygon-RNN++ (CVPR 2018)

Awesome-Foundation-Models

A curated list of foundation models for vision and language tasks

densenet-pytorch

A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

cords

Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.

fewshot-egnn

ggnn

Gated Graph Sequence Neural Networks

ml-lessons

Intro to deep learning for medical imaging lesson, by MD.ai

Medical-Report-Generation

A pytorch implementation of On the Automatic Generation of Medical Imaging Reports.

DCEC

onestage_grounding

A Fast and Accurate One-Stage Approach to Visual Grounding, ICCV 2019 (Oral)

MLNT

Meta-Learning based Noise-Tolerant Training

learning-not-to-learn

[CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data

awesome-federated-learning

A curated list of resources dedicated to federated learning.