mifikri's Stars
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
viraptor/reverse-interview
Questions to ask the company during your interview
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Rudrabha/Wav2Lip
This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs
ryanburgess/engineer-manager
A list of engineering manager resource links.
mrgloom/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
JunMa11/SegLossOdyssey
A collection of loss functions for medical image segmentation
facebookresearch/Mask2Former
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
patrikhuber/eos
A lightweight 3D Morphable Face Model library in modern C++
changh95/visual-slam-roadmap
Roadmap to become a Visual-SLAM developer in 2023
geohot/ai-notebooks
Some ipython notebooks implementing AI algorithms
GeekAlexis/FastMOT
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
Project-MONAI/research-contributions
Implementations of recent research prototypes/demonstrations using MONAI.
victorsteven/food-app-server
Exploring Domain-Driven Design in Golang
nobleo/full_coverage_path_planner
Full coverage path planning provides a move_base_flex plugin that can plan a path that will fully cover a given area
zhengthomastang/2018AICity_TeamUW
The winning method in Track 1 and Track 3 at the 2nd AI City Challenge Workshop in CVPR 2018 - Official Implementation
junyuchen245/Transformer_for_medical_image_analysis
A collection of papers about Transformer in the field of medical image analysis.
IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
developer0hye/PyTorch-Deformable-Convolution-v2
Don't feel pain to use Deformable Convolution
XinyiYing/D3Dnet
Repository for "Deformable 3D Convolution for Video Super-Resolution", SPL, 2020
zhongyy/Face-Transformer
Face Transformer for Recognition
cv-lee/BraTs
PyTorch & Keras implementation for BraTs (Brain Tumor Segmentation)
xinzhuma/monodle
Delving into Localization Errors for Monocular 3D Object Detection, CVPR'2021
paul-pias/Face-Recognition
Face Recognition using pre-trained model built-on Arcface was implemented on Pytorch.
Pandas-Team/Autonomous-Vehicle-Environment-Perception
An Intelligent Modular Real-Time Vision-Based System for Environment Perception (NeurIPS 2022 Workshop)
ZhihuaLiuEd/SoTA-Brain-Tumor-Segmentation
bluesky314/BraTs-Segmentation-Challenge
oprogramador/empirical-laws-of-software-development
Empirical laws of software development
itruonghai/SegTransVAE