lochielochie/open-deep-research

An open source deep research clone. AI Agent that reasons large amounts of web data extracted with Firecrawl

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VuBacktracking/Coursera-Machine-Learning-Specialization

Contains Optional Labs and Solutions of Programming Assignment for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2023) by Prof. Andrew NG

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abhijitbendale/OSDN

Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

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gyrdym/ml_algo

Machine learning algorithms in Dart programming language

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drkocoglu/Machine_Learning_Class

Machine Learning Class - ECE - TTU - Spring 2020

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CryAndRRich/npmod

Building a simple deep learning framework and some machine learning/deep learning models from scratch (pure Numpy and Pytorch)

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JYNi16/Deeplearning-Beginner

Various Classical Deep-learning Algorithm coded by Tensorflow and Pytorch framework

Language: Python - Size: 161 KB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 3

ranimeshehata/Softmax-Regression-on-MNIST

A PyTorch-based project for classifying the MNIST dataset using Softmax Regression, including training, validation, results and visualization.

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myazi/myLearn

machine learning algorithm

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sunnysoni97/hand_reader

Handwriting Recognition Software (Python/AI/kivy)

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pritamgouda11/Contrastive-Representation

This project has a comprehensive exploration of two key topics: Softmax Regression and Contrastive Representation Learning.

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daodavid/maths-behind-ML

Maths behind machine learning and some implementations from scratch.

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AFAgarap/wisconsin-breast-cancer 📦

[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

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AmbreenMahhoor/Logistic-Regression

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nisharathod231/Contrastive-Representation

This project has a comprehensive exploration of two key topics: Softmax Regression and Contrastive Representation Learning. The dataset used for this project is the CIFAR-10 dataset, which can be accessed by link given below

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DhairyaC/Customer-Churn-Prediction

Analyze, visualize and predict customer churn using Machine Learning

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mrcaidev/statistic-learning-and-pattern-recognition 📦

电子科技大学 2020 级《统计学习与模式识别》课程代码。

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vectornguyen76/machine-learning-regression

Machine Learning Regression with Linear Regression, Logistic Regression and Softmax Regression

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Armin-Abdollahi/Iris-Flower-Classification

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BenjaminRueling/Iris-Classification

Iris Classification

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ayushtan123/Multiclass-Classification-using-Softmax

This project utilizes neural networks to recognize handwritten digits (0-9) through multiclass classification, employing ReLU activation and Softmax function for accurate predictions.

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itsatefe/Pattern-Recognition

Statistical Pattern Recognition (classic machine learning)

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DerekEgenti/Machine_Learning-_Tasks

A list of machine leaarning tasks carried out in a set of series spread across 3 Colab Notebooks

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hiroyuki-kasai/GDLibrary

Matlab library for gradient descent algorithms: Version 1.0.1

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giannhskp/Artificial-Intelligence-II_Natural-Language-Processing

Sentiment Classifier using: Softmax-Regression, Feed-Forward Neural Network, Bidirectional stacked LSTM/GRU Recursive Neural Network, fine-tuning on BERT pre-trained model. Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)

Language: Jupyter Notebook - Size: 6.81 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

maftouhi/Handwritten-Digit-Recognition

A model to classify images of handwritten digits using Multiclass Logistic Regression

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coderconroy/softmax-mnist-classifier

Softmax Regression applied to MNIST Handwritten Dataset

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techbd123/DigitRecognition

Language: Python - Size: 84.9 MB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 1

williamd4112/simple-linear-classification

A python implementation of linear classification algorithm (including Probabilistic Generative Model, Probabilistic Discriminative Model). (See Pattern Recognition and Machine Learning, Bishop)

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Sagarnandeshwar/Naive_Bayes_And_Logistic_Regression_For_NLP

Applied Machine Learning (COMP 551) Project

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spChalk/Vaccine-Sentiment-Classifier

:syringe: Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.

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arnejad/multiclass-classification

Implementation of multinomial logisitic regression, Weighted Logistic Regression, Bayesian Logistic Regression, Gaussian Generative Classification and Gaussian Naive Bayes Classification from scratch in MATLAB

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byelipk/deeper-mnist

Using advanced deep learning techniques on the MNIST dataset. Over 98% validation set accuracy.

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arthurpessoa/tensorflow-handwriten-digits

Tensorflow simple project using MNIST dataset and softmax-regression

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jerett/Keras-CIFAR10

practice on CIFAR10 with Keras

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super-m-a-n/covid19-vaccine-tweets-sentiment-analysis

Deep learning methods for sentiment analysis classification of covid-19 vaccination tweets

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AnoushkaVyas/MNIST-Data-Set-Advanced-Classification

MNIST Data set classification using more complex methods

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BrighentiPatrik/Model-for-predicting-student-graduation-grade

Machine Learning Model to predict student graduation grade

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priyanka-kasture/Handwritten-Digit-Recognizer

Handwritten Digit Recognition using Softmax Regression in Python

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tate8/softmax-regression

Softmax Regression from scratch. MNIST dataset

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SSQ/Coursera-Ng-Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization

Short description for quick search

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pspanoudakis/Machine-Learning-NLP

NLP 🤖 📖 projects on Vaccine Sentiment Classification 💉 and Question Answering 💬

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zafarrafii/Deep-Learning

Deep Learning basics in Python using NumPy, PyTorch, and TensorFlow/Keras: linear regression, softmax regression, multilayer perceptron, etc.

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daodavid/classic-ML

Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python

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MediaBilly/Twitter-Covid-Vaccination-Data-Sentiment-Analysis

Sentiment analysis on tweets about covid19 vaccinations with different methods.

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MH-Farhadi/Stochastic-pattern-recognition

Language: Python - Size: 1.77 MB - Last synced at: 6 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

jackyan540/cs181-homework2

Spring 2021 Machine Learning (CS 181) Homework 2

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trqminh/softmax-regression

get familiar with pytorch

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pkluber/MoS-Tensorflow

Mixture of Softmaxes implementation in Tensorflow

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MostafaToema/Machine-Learning-Algorithms-Implementation

Implementation from scratch supervised and unsupervised ML algorithms.

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junghyun397/PyMNIST

MNIST Softmax regression implemion using only pure Python

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Naman-ntc/CIFAR-10-Recognition

Image Recognition on the CIFAR-10 training set using various approaches like Convolutional neural networks, Support Vector Machines, Softmax regression using only Numpy

Language: Python - Size: 5.54 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 1

lovesaroha/Softmax-Regression

The softmax function  or normalized exponential function  is a generalization of the logistic function to multiple dimensions. In this example (X is weight, Y is height) where (0,0) is top left corner.

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waybarrios/TensorFlow_CNN

Example CNN on CIFAR-10 classification

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devil-cyber/MNIST-Fashion-Classification

MNIST Fashion Classifications using softmax regression

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amit-timalsina/Details-of-Training-Models

This repo is about the details of Machine Learning models which we often use using Scikit Learn.

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McTechie/tensorFlow-dev-algorithms

Deep Learning Algorithms and Neural Networks implemented in TensorFlow using Google Colab!

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dlee0528/Iris-Species-Machine-Learning

To classify iris plants into three species and make predictions using Softmax Regression with a dataset

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iGeralt/Deep-Learning-Course-Sem-7

Deep Learning lab codes and study material of sem 7.

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amanraj209/CIFAR10_Models

Language: Python - Size: 28.3 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0

ayushianan/expression_analysis

A softmax regression model to classify images as neutral or smiling by different facial expressions.

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xup6fup/MxNetR-examples

This project provides a series of MxNetR example for letting readers to get started quickly.

Language: R - Size: 40.8 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 1

byelipk/learning-iris

Language: Python - Size: 127 KB - Last synced at: 9 months ago - Pushed at: about 8 years ago - Stars: 1 - Forks: 0

KangboLu/TensorFlow-HelloWorld

:blush: TensorFlow Hello World Program

Language: Python - Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

juanjoneri/Learning-Machine-Learning

Use python Jupyter notebooks (numpy, pandas, matplotlib, etc) to implement and test simple machine learning algorithms.

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mayankmahavar111/Text-Classification

Language: Python - Size: 8.54 MB - Last synced at: 9 months ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

mmarouen/SVM_Framework_py

Flexible SVM framework implementation

Language: Python - Size: 23.4 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

may-/rho-saga

SAGA with Perturbations

Language: Jupyter Notebook - Size: 395 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

mmarouen/SVM_Framework

Support vector machines flexible framework

Language: R - Size: 85 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

amanraj209/MNIST-Tensorflow

Language: Python - Size: 8.79 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0