1179 Open source projects that are alternatives of or similar to Ml Course

"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.

Make it easier to compare and cross-reference the names of companies and people by applying strong normalisation.

R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data

IPython widgets, interactive plots, interactive machine learning

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Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

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Service Classification based on Service Description

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

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Code for "Effective Dimensionality Reduction for Word Embeddings".

fast clustering algorithms

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Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

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Collection of computer vision models, ready to be included in a JVM project

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

Code for the paper "Contrastive Clustering" (AAAI 2021)

Neural Networks in Java 8 with CuDNN and Aparapi

Create and manage PE node groups as resources.

A robust and fast clustering method for amplicon-based studies

Tracking, notes and programming snippets while learning predictive analytics

Using pre trained word embeddings (Fasttext, Word2Vec)

Source code for the 2019 IEEE TIFS paper "PalmNet: Gabor-PCA Convolutional Networks for Touchless Palmprint Recognition"

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

A deep clustering algorithm. Code to reproduce results for the paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding.

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Algorithms to automatically discover stops and moves in GPS trajectories.

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Collections of model quantization algorithms

🎬instant recommending or finding or downloading movies via the command line

hook msr by amd svm

A New, Interactive Approach to Learning Python

A Python implementation of k-means clustering algorithm

Deep Learning From Scratch

Basic Movie Recommendation Web Application using user-item collaborative filtering.

Anomaly Detection and Correlation library

KDD17_FMG

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Deep neural network to extract intelligent information from invoice documents.

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

a cluster solution for Janus WebRTC server, by API proxy approach

Easy Map Annotation Clustering 📍

Machine Learning Platform and Recommendation Engine built on Kubernetes

Autocluster and Autoheal for EMQ X Broker

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

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A pure Python implement of Collaborative Filtering based on MovieLens' dataset.

A collection of all projects pertaining to different layers in the SDC software stack