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adasvrg

admm_release

Matlab/Python code for the ADMM part of my thesis ''Alternating Optimization: Constrained Problems, Adversarial Networks, and Robust Models''

altmin

Second-Order Convergence of Alternating Minimizations

amanpg

MATLAB implementation of AManPG

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

arnt

Adaptive Regularized Newton Method for Riemannian Optimization

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-matlab

A curated list of awesome Matlab frameworks, libraries and software.

awesome-nn-optimization

Awesome list for Neural Network Optimization methods.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

blind_image_quality_toolbox

Collection of Blind Image Quality Metrics in Matlab

cocain-bpg-matrix-factorization

New Matrix Factorization Algorithms based on Bregman Proximal Gradient: BPG-MF, CoCaIn BPG-MF, BPG-MF-WB

collaborative-filtering

A Python implementation of user based and item based collaborative filtering for matrix completion

cs395t-numerical-optimization

Course projects of CS395T Numerical Optimization, UT Austin

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

data-science-notes

数据科学的笔记以及资料搜集

dctdenoising

deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

dive-into-dl-pytorch

本项目将《动手学深度学习》原书中的MXNet代码实现改为PyTorch实现。

dsmo.course

Data Science and Matrix Optimization course

estimate_sequences

Code for the ICML 2019 paper "Estimate Sequences for Variance-Reduced Stochastic Composite Optimization"

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

expvecedm

MATLAB code for solving the Euclidean Distance Matrix completion problem.