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2021-zju-machine-learning

浙江大学机器学习

6s083

Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

adaptive-inertia-adai

The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on the paper: "Adai: Separating the Effects of Adaptive Learning Rate and Momentum Inertia".

advanced-applied-deep-learning

Source Code for 'Advanced Applied Deep Learning' by Umberto Michelucci

advanced-r-statistical-programming-and-data-models

Source Code for 'Advanced R Statistical Programming and Data Models' by Matt Wiley and Joshua F. Wiley

agile-ai-in-pharo

Source Code for 'Agile Artificial Intelligence in Pharo' by Alexandre Bergel

alphatree-graphic-deep-neural-network

机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱

applied-data-science-using-pyspark

Source Code for 'Applied Data Science Using PySpark' by Ramcharan Kakarla, Sundar Krishnan, and Sridhar Alla

applied-machine-learning-for-health-and-fitness

source code

applied-reinforcement-learning-w-python

Source Code for 'Applied Reinforcement Learning with Python' by Taweh Beysolow

artificial-neural-networks-with-tensorflow-2

source code

artificial-neural-variability-for-deep-learning

The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization. The algorithms are based on the original paper: Artificial Neural Variability for Deep Learning: On overfitting, Noise Memorization, and Catastrophic Forgetting.

basicreservoircomputing

Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents

beginning-mathematica-wolfram-data-science

Source Code for 'Beginning Mathematica and Wolfram for Data Science' by Jalil Villalobos Alva

benchmarking-profiling-optimizing-python

Source Code for 'Benchmarking, Profiling, and Optimizing Your Python Code' (video) by Coen de Groot

binary-equilibrium-optimizer

building-computer-vision-apps-artificial-neural-networks

Source Code for 'Building Computer Vision Applications Using Artificial Neural Networks' by Shamshad Ansari

causalpinns

cloudpoint-machinelearning

co-psge

Implementation of Co-PSGE Algorithm

complex_networks

Simulate complex networks with different models(small world, scale-free, random), and compare the robustness (under random failures) of them.

computer-vision-using-deep-learning

source code

csgd-cmsgd

data-analysis-and-visualization-using-python

Source Code for 'Data Analysis and Visualization Using Python' by Dr. Ossama Embarak

data_driven_symbolic_regression

Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used to identify physical process, numerical schemes, and LES subgrid scale (eddy viscosity) turbulence models.

deep-learning-notes

Experiments with Deep Learning

deep-learning-projects-using-tensorflow-2

source code

deep-neuro-fuzzy-systems-w-python

Source Code for 'Deep Neuro-Fuzzy Systems with Python' by Himanshu Singh and Yunis Ahmad Lone

discrete-msa

dnndeepeningpruning

Code to validate the "Automatic Searching and Pruning of Deep Neural Networks for Medical Imaging Diagnostic" paper.