boyahou

boyahou's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python82.1k1.7k45k22.1k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python29.8k6241798.1k

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.4k8611556k

• rasbt/python-machine-learning-book

  The "Python Machine Learning (1st edition)" book code repository and info resource

  Language:Jupyter Notebook12.2k798564.4k

• dsgiitr/d2l-pytorch

  This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

  Language:Jupyter Notebook4.2k164211.2k

• hunkim/PyTorchZeroToAll

  Simple PyTorch Tutorials Zero to ALL!

  Language:Python3.9k147311.2k

• astooke/rlpyt

  Reinforcement Learning in PyTorch

  Language:Python2.2k52169322

• BethanyL/DeepKoopman

  neural networks to learn Koopman eigenfunctions

  Language:Jupyter Notebook363189119

• bhushan23/ADMM

  Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression

  Language:Jupyter Notebook1344429

• LIBOL/LIBOL

  Library for Online Learning algorithms

  Language:C++683132

• MilanKorda/KoopmanMPC

  512216

• n-takeishi/learning-kis

  Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition

  Language:MATLAB393010

• harshraj11584/Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder

  [Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

  Language:Python23206

• HazyResearch/lp_rffs

  Low precision random Fourier features for kernel approximation

  Language:Python171605

• jingcoco/Online-Kernel-Learning

  This is all the codes used in "Large Scale Online Kernel Learning"

  Language:MATLAB11214

• arbabiha/DMD-for-ergodic-systems

  Computing the discrete spectrum of the Koopman operator using Dynamic Mode Decomposition

  Language:MATLAB102111

• samotto1/Sparse_Kernel_DMD

  Learn sparse representations of the Koopman operator in POD basis in kernel feature space

  Language:Matlab96

• okbalefthanded/EasyMKL

  A MATLAB implementation of the multiple kernel learning algorithm EasyMKL

  Language:MATLAB7200

• jingcoco/Online-Multiple-Kernel-Learning

  an online multiple kernel learning toolbox.

  Language:C++6201

• ntienvu/NonparametricBudgetedSGD

  Matlab code for Nonparametric Budgeted SGD for classification and regression (AISTATS 2016)

  Language:Terra3201