Gradient Descent Collection

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🌊Water

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

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“Fast and Easy Infinite Neural Networks in Python”

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🔥Fire

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

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“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.”

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🔮Psychic

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“A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN”

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🐉Dragon

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“🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types”

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🔮Psychic

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“Image morphing without reference points by applying warp maps and optimizing over them.”

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🌊Water

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

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“This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.”

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“NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1”

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🔮Psychic

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“Implementing Multiple Layer Neural Network from Scratch”

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

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🔮Psychic

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

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“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.”

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🔮Psychic

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“深度学习常用优化方法详解”

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“Six snippets of code that made deep learning what it is today.”

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“👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)”

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