448 Open source projects that are alternatives of or similar to 10_days_of_deep_learning

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

Using pre trained word embeddings (Fasttext, Word2Vec)

D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.

ugtm: a Python package for Generative Topographic Mapping

ML algorithm for real-time classification

High-resolution breast cancer screening with multi-view deep convolutional neural networks

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

Embeddings: State-of-the-art Text Representations for Natural Language Processing tasks, an initial version of library focus on the Polish Language

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

A practical example on how to combine both a CNN and a RNN to classify images.

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

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Model verification, validation, and error analysis

Classifying time series using feature extraction

Catalyst.Classification

Super simple text classifier using Naive Bayes. Plug-and-play, no dependencies

Loan Application Data Analysis

Vita - Genetic Programming Framework

immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.

Ruby Scoring API for PMML

Implement popular models by different DL framework. Such as tensorflow and caffe

EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

document embedding and machine learning script for beginners

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

招商银行FinTech-复赛-财经新闻分析

Kaggle Titanic example

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

A flexible Python front-end inference SDK based on TensorRT

Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting

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

这是一个基于tensorflow和python的猫狗分类算法

Repository for anime characters recognition website, powered by TensorFlow

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Code for replicating results of team 'hateminers' at EVALITA-2018 for AMI task

Vectorized Machine Learning in Python 🐍 From Scratch

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

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

This project explores colors in various images and then enables the user to query the images based on a given color.

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Reusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras

OpenMMLab Model Compression Toolbox and Benchmark.

Relation Classification - SEMEVAL 2010 task 8 dataset

Coding up a Neural Network Classifier from Scratch

Text classification meets word embeddings.

A text analysis application for performing common NLP tasks through a web dashboard interface and an API

dzetsaka : classification plugin for Qgis

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

基于Tensorflow2开发的优秀扩展包及项目

ProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.

Statistical and Semantical Text Summarizer in Persian Language

Natural World Tasks

Scripts for an upcoming blog "Extractive vs. Abstractive Summarization" for RaRe Technologies.

Online machine learning methods

Scripts demo-ing how to train a Word2Vec model and reduce its vector space

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

YOLOv1 tensorflow