HTTP's repositories
BlinkFormer
This is the official code and data for paper "SynBlink and BlinkFormer: A Synthetic Dataset and Transformer-Based Method for Video Blink Detection", accepted by BMVC 2023.
annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Char-RNN-TensorFlow
Multi-language Char RNN for TensorFlow >= 1.2.
CodeRepository
my personal code repository
deeplearning.ai
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
DSFD.pytorch
DSFD implement with pytorch
Emotion-FAN
ICIP 2019: Frame Attention Networks for Facial Expression Recognition in Videos
fashion-mnist
A MNIST-like fashion product database. Benchmark :point_right:
glaucoma-hemodynamics
This code corresponds to our MICCAI 2018 paper on retinal hemodynamics simulation. If you use this code, please cite: Orlando, JI, Barbosa Breda, J, van Keer, K, Blaschko, MB, Blanco, PJ and Bulant, C. "Towards a glaucoma risk index based on simulated hemodynamics from fundus images". MICCAI 2018.
ImageStitching
A program for panoramic image stitching based on opencv
kaggle_ndsb2017
Kaggle datascience bowl 2017
keras-docs-zh
Chinese (zh-cn) translation of the Keras documentation.
mean_average_precision
Small and simple python/numpy utility to compute mean average precision (mAP) on detection task.
Pyramidbox.pytorch
Pyramidbox implement with pytorch
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
QUARTZ-EPIC
Quantitative Analysis of Retinal Vessel Topology and Size for EPIC
retinal-hemodynamics
Code for simulating the retinal hemodynamics from vessel segmentations extracted from fundus images.
Self-Cure-Network
This is a novel and easy method for annotation uncertainties.
two-stream-action-recognition
Python3 version modified for testing.