Popular GitHub Repositories for Gradient Descent

Fast and Easy Infinite Neural Networks in Python

The simplest form of an artificial neural network explained and demonstrated.

A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

Lesson material on data science and machine learning topics/concepts

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

This repo has been created to share the solutions of all the quizzes and assignments of all three courses of this specialization.

深度学习数学、模型结构和基础应用

A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)

Toy implementations of some popular ML optimizers using Python/JAX

Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enforces privacy by clipping and sanitising the gradients with Gaussian noise during training.

This repository is updated by a number of introductory projects to deep learning with Python.

Computer Vision and Image Processing algorithms implemented using OpenCV, NumPy and MatPlotLib, for UOM's EN2550 Fundamentals of Image Processing and Machine Vision Module ❄

Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurIPS'21.

This repo contains my solution to the Stanford course "NLP with Deep Learning" under CS224n code. Here, you can find the solution for all classes starting form 2018

Material for introduction to Deep Learning Tutorials, Summer '20, '21

Some basic AI/ML/DL algorithms implemented from scratch for understanding purposes.

This repository contains the code for the paper "Local policy search with Bayesian optimization".

Java Deep Learning Library

Sampling from π_n(S^2). Application of optimization and machine learning methods to problems of algebraic topology