huappe
Expertise lies in image segmentation and medical image analysis. Developed cutting-edge techniques for analyzing medical images.
CSIRO Data61Sydney
huappe's Stars
AlibabaResearch/efficientteacher
A Supervised and Semi-Supervised Object Detection Library for YOLO Series
facebookresearch/d2go
D2Go is a toolkit for efficient deep learning
Beckschen/TransUNet
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
open-mmlab/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
pipeless-ai/pipeless
An open-source computer vision framework to build and deploy apps in minutes
jatinshah/ufldl_tutorial
Stanford Unsupervised Feature Learning and Deep Learning Tutorial
ej0cl6/deep-active-learning
Deep Active Learning
libffcv/ffcv
FFCV: Fast Forward Computer Vision (and other ML workloads!)
astorfi/Deep-Learning-Roadmap
:satellite: Organized Resources for Deep Learning Researchers and Developers
fundamentalvision/Deformable-DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
ellisdg/3DUnetCNN
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
nilboy/tensorflow-yolo
tensorflow implementation of 'YOLO : Real-Time Object Detection'(train and test)
PaddlePaddle/Paddle3D
A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.
wepe/MachineLearning
Basic Machine Learning and Deep Learning
satojkovic/DeepLogo
A brand logo detection system using tensorflow object detection API.
nlp-uoregon/trankit
Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
cheungdaven/DeepRec
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
ifzhang/ByteTrack
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
aurora95/Keras-FCN
Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation(Unfinished)
google/comprehensive-rust
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
suno-ai/bark
🔊 Text-Prompted Generative Audio Model
zkonduit/ezkl
ezkl is an engine for doing inference for deep learning models and other computational graphs in a zk-snark (ZKML). Use it from Python, Javascript, or the command line.
wasidennis/AdaptSegNet
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
textflint/textflint
Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
matterport/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
L1aoXingyu/Deep-Learning-Project-Template
A best practice for deep learning project template architecture.
IDEA-Research/GroundingDINO
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
EasyJailbreak/EasyJailbreak
An easy-to-use Python framework to generate adversarial jailbreak prompts.
02cx/dong-rpc
2023-11-29