gradient-descent 开源项目推荐（2,536 个）

gorgonia /gorgonia

Gorgonia is a library that helps facilitate machine learning in Go.

google /neural-tangents

Python中快速简单的无限神经网络

kthohr /optim

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

Ryota-Kawamura /Mathematics-for-Machine-Learning-and-Data-Science-Specialization

掌握人工智能和机器学习工具包。机器学习和数据科学数学是一个适合初学者的专业课程，您将在其中学习机器学习的基本数学工具包：微积分、线性代数、统计和概率。

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.

hiroyuki-kasai /NMFLibrary

NMFLibrary：非负矩阵分解（NMF）库：版本2.1

gy910210 /neural-network-from-scratch

Implementing Multiple Layer Neural Network from Scratch

Suji04 /ML_from_Scratch

Implementation of basic ML algorithms from scratch in python...

ikostrikov /pytorch-meta-optimizer

A PyTorch implementation of Learning to learn by gradient descent by gradient descent

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

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.

computational-imaging /neural-holography

Code and data for Neural Holography