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63 search results found

Neural Tangents ⭐ 2,149

Fast and Easy Infinite Neural Networks in Python

Thesemicolon ⭐ 312

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

Deep Learning From Scratch ⭐ 250

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

Hands On Deep Learning Algorithms With Python ⭐ 241

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

Classifying_data_using_a_support_vector_machine ⭐ 196

This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube

Machine_learning_2018 ⭐ 146

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

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

Coursera Machine Learning Specialization ⭐ 120

2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments

Deep Learning Coursera ⭐ 102

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

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.

Machine Learning Numpy ⭐ 84

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

Flatiron School Data Science Curriculum Resources ⭐ 75

Lesson material on data science and machine learning topics/concepts

The_evolution_of_gradient_descent ⭐ 60

This is the code for "The Evolution of Gradient Descent" by Siraj Raval on Youtube

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

Machine Learning ⭐ 53

In this repository, I will upload some projects I have been working on. These include building algorithms from scratch, as well as some applications of these.

Machine_learning_course ⭐ 44

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Stress-based Graph Drawing by Stochastic Gradient Descent

Simple Linear Regression Notebook ⭐ 35

Simple demo of linear regression built with numpy in a jupyter notebook.

Text Analysis ⭐ 32

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

Sgdoptim.jl ⭐ 27

A julia package for Gradient Descent and Stochastic Gradient Descent

Sgd From Scratch ⭐ 25

Stochastic gradient descent from scratch for linear regression

Learning Rate ⭐ 25

Implementation of Learning Rate Finder, SGDR and Cyclical Learning Rate in Keras

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

Mathematics For Machine Learning And Data Science Specialization ⭐ 25

Non-credit online course by DeepLearning.AI

Neural_tangent_kernel ⭐ 22

Pydata London 2018 ⭐ 20

Slides and notebooks for my tutorial at PyData London 2018

Adaptive_gd ⭐ 19

Adaptive gradient descent without descent

Coursera Deeplearning.ai Stanford University Machine Learning Specialization ⭐ 18

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.

Tensorflow implementation of Stein Variational Gradient Descent (SVGD)

Ml_from_scratch ⭐ 16

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

Learning To Learn By Gradient Descent By Gradient Descent ⭐ 14

Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"

Adam Vs Sgd Numpy ⭐ 14

A 3-layer neural network with SGD and Adam optimizers built from scratch with numpy.

Deep Learning ⭐ 13

Deep Learning section of the Algorithms in Machine Learning class at ISAE-Supaero

Keras Normalized Optimizers ⭐ 13

Wrapper for Normalized Gradient Descent in Keras

Online Dictionary Learning Demo ⭐ 12

Fun Python ⭐ 11

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

Porthamiltoniannn ⭐ 11

Port-Hamiltonian Approach to Neural Network Training

Computer Vision And Image Processing ⭐ 11

Computer Vision and Image Processing algorithms implemented using OpenCV, NumPy and MatPlotLib, for UOM's EN2550 Fundamentals of Image Processing and Machine Vision Module ❄

Intro_to_dl_tutorial ⭐ 11

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

Check_cosine_annealing_lr ⭐ 10

Used torch.optim.lr_scheduler.CosineAnnealingLR()

Ds3_practical_optim_for_ml ⭐ 9

Notebooks from DS3 course on practical optimization

Gradientdescent_implementation ⭐ 8

Implement different variants of gradient descent in python using numpy

Protein Folding ⭐ 8

Protein structure prediction using optimization methods from the field of machine learning

Beyond Gradient Descent for Regularized Segmentation Losses

Msai Optimization ⭐ 8

Optimization course for MSAI at MIPT

Cs6700 Reinforcement Learning ⭐ 7

Artificial Intelligence series

Optimization For Data Science ⭐ 7

Optimization for Data Science Course

Awesome Optimizers ⭐ 7

Neural Network optimizers implemented from scratch in numpy (Adam, Adadelta, RMSProp, SGD, etc.)

Gradient Descent ⭐ 6

Let's learn gradient descent by using linear regression, logistic regression and neural networks!

Mypythonneuralnetwork ⭐ 6

A neural network class in Python built from scratch

Fast Ai Study ⭐ 6

fast ai study 아카이빙을 위해 만들어졌습니다

Gradient Descent Variants ⭐ 6

My implementation of Batch, Stochastic & Mini-Batch Gradient Descent Algorithm using Python

Differentiable Programming Handbook ⭐ 6

Differentiable implementation of common computer science algorithms

Logistic_regression_numpy ⭐ 6

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

Gradient Descent ⭐ 6

gradient-descent is a package that contains different gradient-based algorithms. The package purpose is to facilitate the user experience when using optimization algorithms.

Diffusercam Tutorial ⭐ 5

Build-your-own DiffuserCam tutorial

Ultrametric Fitting ⭐ 5

Ultrametric Fitting by Gradient Descent

Gradient Descent ⭐ 5

A research project on enhancing gradient optimization methods

Mathematics For Machine Learning And Data Science Specialization ⭐ 5

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.

A Z Machine Learning ⭐ 5

This repository contains the code related to machine learning knowledge. Each code has been provided from start to end with systematical vew of each concept that you will need in your journey of learning ML.

Bayesian Gradient Descent Algorithm Model for TensorFlow

This repository contains the code for the paper "Local policy search with Bayesian optimization".

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