woshituobaye's Stars
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
CopyTranslator/CopyTranslator
🔠Foreign language reading and translation assistant based on copy and translate.
aleju/imgaug
Image augmentation for machine learning experiments.
netease-youdao/QAnything
Question and Answer based on Anything.
dtm-labs/dtm
A distributed transaction framework, supports workflow, saga, tcc, xa, 2-phase message, outbox patterns, supports many languages.
triton-inference-server/server
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
open-mmlab/mmagic
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
HRNet/HRNet-Semantic-Segmentation
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
QianMo/Real-Time-Rendering-3rd-CN-Summary-Ebook
:blue_book: 电子书 -《Real-Time Rendering 3rd》提炼总结 | 全书共9万7千余字。你可以把它看做中文通俗版的《Real-Time Rendering 3rd》,也可以把它看做《Real-Time Rendering 3rd》的解读版与配套学习伴侣,或者《Real-Time Rendering 4th》的前置阅读材料。
marcoslucianops/DeepStream-Yolo
NVIDIA DeepStream SDK 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
bermanmaxim/LovaszSoftmax
Code for the Lovász-Softmax loss (CVPR 2018)
Adlik/Adlik
Adlik: Toolkit for Accelerating Deep Learning Inference
GothicAi/Instaboost
Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"
VITA-Group/GLNet
[CVPR 2019, Oral] "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images" by Wuyang Chen*, Ziyu Jiang*, Zhangyang Wang, Kexin Cui, and Xiaoning Qian
ShunLu91/Single-Path-One-Shot-NAS
SPOS(Single Path One-Shot Neural Architecture Search with Uniform Sampling) rebuilt in Pytorch with single GPU.
balakg/posewarp-cvpr2018
badripatro/simba
Simba
yaq007/Autofocus-Layer
Autofocus Layer for Semantic Segmentation
qsyao/cuda_spatial_deform
A fast tool to do image augmentation on GPU(especially elastic_deform), can be helpful to research on Medical Image.
Donders-Institute/bidscoin
BIDScoin converts your source-level neuroimaging data to BIDS
TripleCoenzyme/ResNet50-Unet
Segmentation for vertebra in MR images
renatoviolin/Deploying-YOLOv5-fastapi-celery-redis-rabbitmq
liujiarik/nlp_clip_pytorch
star_transformer pytorch
ntoussaint/fetalnav
Fetal Region Localisation using PyTorch and Soft Proposal Networks (paper: https://arxiv.org/abs/1808.00793)
momenator/ct-mr-translation
This project is about investigating the capabilities of GAN to translate spinal CT to MRI scans and vice versa.
victorychain/Adversarial-Policy-Gradient-Augmentation
Adversarial Policy Gradient for Medical Deep Learning Image Augmentation
capstone2019-neuralsearch/AC297r_2019_NAS
Harvard IACS Data Science Capstone: Neural Architecture Search (NAS) with Google
claraherscu/3DUnet-livers
bobm123/maker
My random collection of source code for various maker project
YiQi-Hu/NAS-Project