608 Open source projects that are alternatives of or similar to Machine_Learning_From_Scratch

java math expression parser is faster than JEP

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

Rank 1 / 216

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

🧠👨‍💻Deep Learning Specialization • Lecture Notes • Lab Assignments

Text classification meets word embeddings.

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/

Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142

An evaluation of word-embeddings for classification

Training, evaluation and testing code for image classification using TensorFlow

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

No description or website provided.

Naive Bayes Classification used to classify movie reviews as positive or negative

All kinds of neural text classifiers implemented by Keras

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

Hung-Yi Lee ML 2017 Spring Homework

Classification for covid-19 chest X-ray images using Lightning

Coding up a Neural Network Classifier from Scratch

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow

A 2-CNN pipeline to do both detection (using bounding box regression) and classification of numbers on SVHN dataset.

dzetsaka : classification plugin for Qgis

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Python wrapper to small NORB dataset

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Urban sound source tagging from an aggregation of four second noisy audio clips via 1D and 2D CNN (Xception)

Apparel detection using deep learning

Machine learning based text classification in JavaScript using n-grams and cosine similarity

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

Face masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

fastai V2 implementation of Timeseries classification papers.

A comparative assessment of machine learning classification algorithms applied to poverty prediction

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

Speech commands recognition with PyTorch

Predicting forex binary options using time series data and machine learning

Large Data Analysis Course Project

🏷 iOS11 demo application for predicting gender from first names.

🧠 AI powered image tagger backed by DeepDetect

Selective Classification For Deep Neural Networks.

No description or website provided.

Handwritten Digit Recognition using Machine Learning and Deep Learning

This is a repository for an image classification inference API using the Gluoncv framework. The inference REST API works on CPU/GPU. It's supported on Windows and Linux Operating systems. Models trained using our Gluoncv Classification training repository can be deployed in this API. Several models can be loaded and used at the same time.

An intuitive library to extract features from time series

Tribuo - A Java machine learning library

[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

memory efficient, fast & precise taxnomomic classification system for metagenomic read mapping

A simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

这是一个基于tensorflow和python的猫狗分类算法

Classifying time series using feature extraction

Iterative unfolding for Python

AI and machine leaning-based computer vision for a robot

Object classification with CIFAR-10 using transfer learning

Misc Statistics and Machine Learning codes in R

Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy. Through a simple app the user can train Alias to react on a custom wake-word/sound, and once trained, Alias can take control over your home assistant by activating it for you.

The repository provides usefull python scripts for ML and data analysis