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109 search results found

Tensorflow Tutorial ⭐ 3,873

Tensorflow tutorial from basic to hard

Gradientdescentexample ⭐ 428

Example demonstrating how gradient descent may be used to solve a linear regression problem

Theano Rnn ⭐ 374

Demonstration of recurrent neural network implemented with Theano

Diffmorph ⭐ 341

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

Stein Variational Gradient Descent ⭐ 261

code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"

Coronavirus Epidemic Covid 19 ⭐ 232

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

Mlbasic ⭐ 183

深度学习常用优化方法详解

Intro_to_the_math_of_intelligence ⭐ 153

This is the code for "Intro - The Math of Intelligence" by Siraj Raval on Youtube

Machine_learning_2018 ⭐ 146

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

Torchimize ⭐ 110

numerical optimization in pytorch

30 Days Of Ml Kaggle ⭐ 93

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.

Learning To Learn ⭐ 84

TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"

Machinelearninglab ⭐ 80

Some experiments about Machine Learning

Nn Scratch ⭐ 74

Coding up a Neural Network Classifier from Scratch

Physical Gradient Descent ⭐ 69

Code for https://fosterelli.co/executing-gradient-descent-o

Warpgrad ⭐ 67

Meta-Learning with Warped Gradient Descent

Pathnet Pytorch ⭐ 60

PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

Machine Learning In Python Workshop ⭐ 54

My workshop on machine learning using python language to implement different algorithms

Image Classifier ⭐ 53

Final Project of the Udacity AI Programming with Python Nanodegree

Optimizing Chemical Reactions with Deep Reinforcement Learning

An Image classifier to identify whether the given image is Batman or Superman using a CNN with high accuracy. (From getting images from google to saving our trained model for reuse.)

Pytorch Radial Basis Function Layer ⭐ 37

An implementation of an RBF layer/module using PyTorch.

Backpropagation_explained ⭐ 37

This is the code for "Backpropagation Explained" By Siraj Raval on Youtube

Text Analysis ⭐ 32

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent

CIFAR 10 image dataset

Variational Inference in Gaussian Mixture Model

Deep Rl Agents ⭐ 28

Learned Turbo Type Affine Rank Minimization ⭐ 28

Code for Learned Turbo-ype Affine Rank Minimization

Dpml Benchmark ⭐ 26

This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.

sopt:A simple python optimization library

Mathematics For Machine Learning And Data Science Specialization ⭐ 25

Non-credit online course by DeepLearning.AI

Machine Learning Regression ⭐ 25

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

First-order optimization tools

Ml Optimizers Jax ⭐ 23

Toy implementations of some popular ML optimizers using Python/JAX

Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"

Visualizing_momentum ⭐ 23

Visualizing Gradient Descent with Momentum in Python

Statistical Optimization ⭐ 22

Statistical optimization for AI and machine learning

Introdlpython ⭐ 22

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

Minimalistic Multiple Layer Neural Network From Scratch In Python ⭐ 21

Minimalistic Multiple Layer Neural Network from Scratch in Python.

A small helper library for building directed acyclic graphs, trainable by gradient descent, in Theano

Miniflow ⭐ 19

Recreation of core tensorflow functionality: linear and sigmoid layers, forward and back prop, stochastic gradient descent

Minineuralnets ⭐ 19

A framework for mini neural networks (perceptrons), written from scratch in python. The goal of the project is to demystify the workings of a neural network and various training algorithms by providing code written from scratch for the simplest neural network one could have.

Gradient Descent Algorithms ⭐ 19

A collection of various gradient descent algorithms implemented in Python from scratch

Algorithm: Decentralized Parallel Stochastic Gradient Descent

Meta_scmt ⭐ 19

Meta_SCMT is a software to inverse design large-area dielectric metasurface. The key factor that differentiates the Meta_SCMT from current Local Periodic Approximation(LPA) based methods is that Meta_SCMT can achieve fullwave-level accuracy with much less computational resource.

Learning To Learn By Pytorch ⭐ 18

A simple re-implementation for "Learning to learn by gradient descent by gradient descent "by PyTorch

Neural Holography ⭐ 18

Code and data for Neural Holography

Weighted multiple-instance learning algorithm

Machine Learning Framework

Blackjack Sgd ⭐ 17

A simple bot that learns how to play blackjack through real-time stochastic gradient descent

Keras Cosine Annealing ⭐ 17

Keras implementation of Cosine Annealing Scheduler

Gradient Driven Rewards To Guarantee Fairness In Collaborative Machine Learning ⭐ 16

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

Ascii Net ⭐ 16

A little experiment using neural networks to generate ASCII art

Ml_from_scratch ⭐ 16

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

Parallel Sgd ⭐ 15

Parallel implementation of Stochastic Gradient Descent using SciKit-Learn library in Python.

Open Music Recommendation System (Open MRS)

Tf_optimizers ⭐ 13

Optimizers in tensorflow from scratch

Easy to use high level python library for popular machine learning algorithms. Has in-built support for graphing and optimizers based in C++.

Neural Networks Py ⭐ 12

Core neural networks framework supporting to build multilayer perceptron

Mnist Neural Network Classifier ⭐ 12

A trained neural network built from scratch to classify clothes and digits from the MNIST dataset

Intro_to_dl_tutorial ⭐ 11

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

Fun Python ⭐ 11

Some scripts i had fun creating, to learn the basics of python

A simple implementation of SPSA with automatic learning rate tuning

AdaX: Adaptive Gradient Descent with Exponential Long Term Momery

Polynomial Regression From Scratch ⭐ 10

Polynomial regression from scratch

Optimizer Benchmark ⭐ 10

Benchmark Suite for Stochastic Gradient Descent Optimization Algorithms in Pytorch

Gradient Descent The Ultimate Optimizer ⭐ 10

Paper and code for Gradient Descent: The Ultimate Optimizer

Optimization_ml ⭐ 10

Optimization in ML

Beyond Gradient Descent ⭐ 9

Minimalist deep learning library with first and second-order optimization algorithms made for educational purpose

Distributedsgd ⭐ 9

This is a Spark implementation (Python API) for Distributed Stochastic Gradient Descent based on

Hilbert Constrained Gradient Descent ⭐ 9

Pytorch optimizers implementing Hilbert Constrained Gradient Descent

Repository for Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models

Self Driving Robot Using Neural Network ⭐ 9

This project introduces the autonomous robot which is a scaled down version of actual self-driving vehicle and designed with the help of neural network. The main focus is on building autonomous robot and train it on a designed track with the help of neural network so that it can run autonomously without a controller or driver on that specific track. The robot will stream the video to laptop which will then take decisions and send the data to raspberry pi which will then control the robot using m

Movie Recommendation ⭐ 9

Learning rate adaptation for differentially private stochastic gradient descent

Digit Recognizer ⭐ 8

A project I made to practice my newfound Neural Network knowledge - I used Python and Numpy to train a network to recognize MNIST images. Adam and mini-batch gradient descent implemented

Weighted multiple-instance learning algorithm based on stochastic gradient descent

Gradientdescent_implementation ⭐ 8

Implement different variants of gradient descent in python using numpy

Linear Region Attack ⭐ 8

A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturbations without doing gradient descent

Full Quantization Dnn ⭐ 8

PyTorch code for full quantization of DNN using BCGD

Linearsvmclassification ⭐ 8

Forest cover type classification/detection using linear support vector machine implemented with gradient descent (from scratch)

Neural network from scratch in Python using Numpy

Learning Rate Techniques Keras ⭐ 7

Exploring learning rates to improve model performance

Paper Implementation Overview Gradient Descent Optimization Sebastian Ruder ⭐ 7

[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

Edx Scalable Machine Learning ⭐ 7

Convolver ⭐ 7

Unblurs images. Maybe.

Algorithms for compressed sensing in python

Rl Agents ⭐ 6

Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.

Learning_to_learn ⭐ 6

Learning to learn by gradient descent by gradient descent, Andrychowicz et al., NIPS 2016

Gradient Descent And Cost Function Animation Using Celluloid ⭐ 6

Gradient descent is an optimization algorithm used to find the values of parameters (coefficients) of a function (f) that minimizes a cost.

Python machine learning library using powerful numerical optimization methods.

Lasso_using_pgd ⭐ 6

A demo showing how proximal gradient descent and accelerated proximal gradient descent can solve LASSO formulation

Optimisation Algorithms ⭐ 6

A collection of the most commonly used Optimisation Algorithms for Data Science & Machine Learning

Linear Regression Python ⭐ 6

Consensus Based Distributed Stochastic Gradient Descent

Logistic_regression_numpy ⭐ 6

A logistic regressor class written in python, with the testing code against an example dataset.

Gradient Descent ⭐ 6

Demo for the part 1 of the tutorial on pychain

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