Topic: gradient-descent Goto Github
Some thing interesting about gradient-descent
Some thing interesting about gradient-descent
gradient-descent,Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python
User: agrawal-priyank
gradient-descent,An R package for large scale estimation with stochastic gradient descent
Organization: airoldilab
gradient-descent,A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs
User: ameobea
Home Page: https://nn.ameo.dev
gradient-descent,Differentiable RayTracing in Julia
User: avik-pal
Home Page: https://avik-pal.github.io/RayTracer.jl/stable/
gradient-descent,Variational Inference in Gaussian Mixture Model
User: bertini36
gradient-descent,🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
User: breandan
Home Page: https://breandan.net/public/masters_thesis.pdf#page=49
gradient-descent,Code for https://fosterelli.co/executing-gradient-descent-on-the-earth
User: chrisfosterelli
gradient-descent,Code and data for Neural Holography
Organization: computational-imaging
Home Page: http://www.computationalimaging.org/publications/neuralholography/
gradient-descent,A next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP and IPOPT (barrier) in a modern and generic way, and unlocks a variety of novel methods. Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.
User: cvanaret
gradient-descent,Six snippets of code that made deep learning what it is today.
User: emilwallner
gradient-descent,Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
User: faridcher
Home Page: https://www.coursera.org/learn/machine-learning
gradient-descent,Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
User: fotisk07
gradient-descent,Final Project of the Udacity AI Programming with Python Nanodegree
User: fotisk07
gradient-descent,The simplest form of an artificial neural network explained and demonstrated.
User: gokadin
gradient-descent,Fast and Easy Infinite Neural Networks in Python
Organization: google
Home Page: https://iclr.cc/virtual_2020/poster_SklD9yrFPS.html
gradient-descent,Gorgonia is a library that helps facilitate machine learning in Go.
Organization: gorgonia
Home Page: https://gorgonia.org/
gradient-descent,Implementing Multiple Layer Neural Network from Scratch
User: gy910210
gradient-descent,numerical optimization in pytorch
User: hahnec
Home Page: https://hahnec.github.io/torchimize/
gradient-descent,Matlab library for gradient descent algorithms: Version 1.0.1
User: hiroyuki-kasai
gradient-descent,NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
User: hiroyuki-kasai
gradient-descent,Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!
User: huseinzol05
gradient-descent,A PyTorch implementation of Learning to learn by gradient descent by gradient descent
User: ikostrikov
gradient-descent,⭐️ Linear Regression with Gradient Descent in JavaScript (Unvectorized, Visualized)
Organization: javascript-machine-learning
Home Page: https://www.robinwieruch.de/linear-regression-gradient-descent-javascript/
gradient-descent,A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning
User: krishnakumarsekar
gradient-descent,OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
User: kthohr
Home Page: https://optimlib.readthedocs.io/en/latest/
gradient-descent,Some experiments about Machine Learning
User: llhthinker
gradient-descent,Gradient based hyperparameter optimization & meta-learning package for TensorFlow
User: lucfra
gradient-descent,simple machine learning demo
User: lucifier129
Home Page: https://lucifier129.github.io/simple-machine-learning-demo/
gradient-descent,By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
User: m-clark
Home Page: https://m-clark.github.io/models-by-example/
gradient-descent,Multiple Regression Package for PHP
User: mcordingley
gradient-descent,Lesson material on data science and machine learning topics/concepts
User: mrgeislinger
gradient-descent,Heterogeneous automatic differentiation ("backpropagation") in Haskell
User: mstksg
Home Page: https://backprop.jle.im
gradient-descent,Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
User: palle-k
Home Page: https://palle-k.github.io/DL4S/
gradient-descent,2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
User: quocviethere
gradient-descent,This repo has been created to share the solutions of all the quizzes and assignments of all three courses of this specialization.
User: rabbia-hassan
Home Page: https://www.coursera.org/specializations/mathematics-for-machine-learning-and-data-science
gradient-descent,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.
User: rojaachary
gradient-descent,A single header-only C++ library for least squares fitting.
User: rookfighter
gradient-descent,An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
Organization: rubixml
Home Page: https://rubixml.com
gradient-descent,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.
User: ryota-kawamura
gradient-descent,A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
User: sergio0694
gradient-descent,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.
User: shantanu1109
gradient-descent,This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
User: shreyans29
Home Page: https://www.youtube.com/c/thesemicolon
gradient-descent,My workshop on machine learning using python language to implement different algorithms
User: snrazavi
Home Page: http://www.snrazavi.ir/ml-with-python
gradient-descent,Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
User: snrazavi
gradient-descent,Implementation of basic ML algorithms from scratch in python...
User: suji04
Home Page: https://www.youtube.com/NormalizedNerd
gradient-descent,深度学习常用优化方法详解
User: tsycnh
gradient-descent,Image morphing without reference points by applying warp maps and optimizing over them.
User: volotat
gradient-descent,"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.
User: yangsenius
gradient-descent,👩🏻⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)
User: yiranjing
gradient-descent,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.
User: zeke-xie
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