Shuhan Zhang's repositories
frame-compression
In-Block Prediction-Based Mixed Lossy and Lossless Reference Frame Recompression for Next-Generation Video Encoding
Programming-Computer-Vision-with-Python
Python计算机视觉编程(Programming Computer Vision with Python)
Stein-Variational-Gradient-Descent
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
Programming-Collective-Intelligence
集体编程智慧(Programming Collective Intelligence)
awesome-NAS
A curated list of neural architecture search (NAS) resources.
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
DeepSparseKernel
Multi-output Gaussian process regression via multi-task neural network
Doubly-Stochastic-DGP
Deep Gaussian Processes with Doubly Stochastic Variational Inference
Genetic-Algorithm-for-Job-Shop-Scheduling-and-NSGA-II
Learning how to implement GA and NSGA-II for job shop scheduling problem in python
gp-optimization-python
Implementation of my Bayesian Optimization algorithms
GPyOpt-ml-agents
Gaussian process optimization using GPyOpt for Unity ML-Agents Toolkit
hands_on_Ml_with_Sklearn_and_TF
OReilly Hands On Machine Learning with Scikit Learn and TensorFlow (Sklearn与TensorFlow机器学习实用指南)
Machine-Learning-in-Action
机器学习实践(Machine Learning in Action)
NSGA-II
This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks