gradient-descent
There are 1889 repositories under gradient-descent topic.
gorgonia/gorgonia
Gorgonia is a library that helps facilitate machine learning in Go.
google/neural-tangents
Fast and Easy Infinite Neural Networks in Python
kthohr/optim
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.
Sergio0694/NeuralNetwork.NET
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
breandan/kotlingrad
🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
volotat/DiffMorph
Image morphing without reference points by applying warp maps and optimizing over them.
gokadin/ai-simplest-network
The simplest form of an artificial neural network explained and demonstrated.
shreyans29/thesemicolon
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
cvanaret/Uno
A next-gen SQP & barrier solver for nonlinearly constrained optimization
hiroyuki-kasai/NMFLibrary
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
gy910210/neural-network-from-scratch
Implementing Multiple Layer Neural Network from Scratch
ikostrikov/pytorch-meta-optimizer
A PyTorch implementation of Learning to learn by gradient descent by gradient descent
Suji04/ML_from_Scratch
Implementation of basic ML algorithms from scratch in python...
xie-lab-ml/deep-learning-dynamics-paper-list
This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.
tsycnh/mlbasic
深度学习常用优化方法详解
emilwallner/Deep-Learning-From-Scratch
Six snippets of code that made deep learning what it is today.
YiranJing/Coronavirus-Epidemic-COVID-19
👩🏻⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)
krishnakumarsekar/awesome-machine-learning-deep-learning-mathematics
A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning
snrazavi/Machine_Learning_2018
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
rojaAchary/30-Days-of-ML-Kaggle
Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.
mstksg/backprop
Heterogeneous automatic differentiation ("backpropagation") in Haskell
lucfra/FAR-HO
Gradient based hyperparameter optimization & meta-learning package for TensorFlow
computational-imaging/neural-holography
Code and data for Neural Holography
shantanu1109/Coursera-DeepLearning.AI-Stanford-University-Machine-Learning-Specialization
This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.
faridcher/ml-course
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
avik-pal/RayTracer.jl
Differentiable RayTracing in Julia
MrGeislinger/flatiron-school-data-science-curriculum-resources
Lesson material on data science and machine learning topics/concepts
hahnec/torchimize
numerical optimization in pytorch
Ameobea/neural-network-from-scratch
A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs
fotisk07/Deep-Learning-Coursera
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
snrazavi/Machine-Learning-in-Python-Workshop
My workshop on machine learning using python language to implement different algorithms
Rabbia-Hassan/Mathematics-for-Machine-Learning-and-Data-Science-Specialization-by-DeepLearning.AI
This repo has been created to share the solutions of all the quizzes and assignments of all three courses of this specialization.
llhthinker/MachineLearningLab
Some experiments about Machine Learning
RubixML/Sentiment
An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
palle-k/DL4S
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux