joyivan's repositories
influence-function-cntk
Visualization of train-test relationships based on influence function methods
46927-Project
Influence function for empirical risk optimizers.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
C_practice
I want learn some C code in git
CapsNet-Tensorflow
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
convnet-drawer
Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions
darkent-yolov1
YOLO
darknet
Windows and Linux version of Darknet Yolo v2 Neural Networks for object detection
darknet_scripts
Auxilary scripts to work with (YOLO) darknet deep learning famework. AKA -> How to generate YOLO anchors?
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
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.
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Faster-RCNN_TF
Faster-RCNN in Tensorflow
learn-regex
Learn regex the easy way
numerical-linear-algebra
This course contains the notebooks for the Numerical Linear Algebra elective in USF's MSAN program, summer 2017
shadowsocksr
Python port of ShadowsocksR
Stephen-Hawking
This folder contain some most significant paper of S.Hawking
tf-faster-rcnn
Tensorflow Faster RCNN for Object Detection
vehicle-detection
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
yolo-tensorflow
基于tensorflow开发的YOLO和YOLO9000，提供训练以及测试功能，以VOC2012数据集作为训练/测试集（5000/5000），进行性能检测，同时对比识别性能以及效率
yolo_tensorflow
Tensorflow implementation of YOLO, including training and test phase.
YOLO_V3
Improve YOLO_V3 with latest paper