Pinned Repositories
15213
2014
Official content for the Fall 2014 Harvard CS109 Data Science course
2015
Public material for CS109
2015lab1
2015lab2
2015lab3
2015lab4
Lab for Linear and Logistic Regression, SciKit Learn
2015lab5
Lab 5, the first on Machine Learning!
PAUT
Deep Learning for Ultrasound Testing
RT
Deep Learning for Radiography Testing
junhua-zhang's Repositories
junhua-zhang/albumentations
fast image augmentation library and easy to use wrapper around other libraries
junhua-zhang/AmgXWrapper
AmgXWrapper: An interface between PETSc and the NVIDIA AmgX library
junhua-zhang/awesome-adversarial-machine-learning
A curated list of awesome adversarial machine learning resources
junhua-zhang/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
junhua-zhang/brain1
Repository for definitive BRAIN v1
junhua-zhang/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
junhua-zhang/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
junhua-zhang/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
junhua-zhang/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
junhua-zhang/distributed_tutorial
junhua-zhang/Efficient-PyTorch
My best practice of training large dataset using PyTorch.
junhua-zhang/FaceAging-by-cycleGAN
junhua-zhang/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
junhua-zhang/Instaboost
Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"
junhua-zhang/keras
Deep Learning for humans
junhua-zhang/kmeans-anchor-boxes
k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper
junhua-zhang/LaTeX-Workshop
Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.
junhua-zhang/oh-my-zsh
🙃 A delightful community-driven (with 1,300+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
junhua-zhang/opencv_tutorials
A simply tutorial for learning opencv4.0 with python (English&Chinese), and will keep the update ! 👊
junhua-zhang/pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
junhua-zhang/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
junhua-zhang/pytorch-segmentation-toolbox
PyTorch Implementations for DeeplabV3 and PSPNet
junhua-zhang/pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle farming
junhua-zhang/segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
junhua-zhang/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
junhua-zhang/SJTU-Courses
上海交通大学课程资料分享
junhua-zhang/SJTUThesis
上海交通大学 XeLaTeX 学位论文及课程论文模板
junhua-zhang/TAADpapers
Must-read Papers on Textual Adversarial Attack and Defense
junhua-zhang/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
junhua-zhang/vision
Datasets, Transforms and Models specific to Computer Vision