122 Open source projects that are alternatives of or similar to theedhum-nandrum

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Grab .m3u8 from YouTube live channels and makes .m3u IPTV Playlist from various languages and Events. Tamil / Malayalam / English / Hindi / French / Kids / Sports / Urudu etc.

Easily Type Indian Languages on computer and mobile. GoVarnam is a cross-platform transliteration library. Manglish -> Malayalam, Thanglish -> Tamil, Hinglish -> Hindi plus another 10 languages. GoVarnam is a near-Go port of libvarnam

Text Classification Algorithms: A Survey

Learning to create Machine Learning Algorithms

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Implementation of key concepts of neuralnetwork via numpy

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

A Survey and Experiments on Annotated Corpora for Emotion Classification in Text

正方验证码识别工具 提供多种方式

A set of machine learning experiments in Clojure

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

several methods for text classification

✌️ 👌 ✊ 📷 Sign Language Recognition using Python

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124

A repository for recording the machine learning code

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

I will update this repository to learn Machine learning with python with statistics content and materials

LSTM and QRNN Language Model Toolkit for PyTorch

An Interactive Approach to Understanding Deep Learning with Keras

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Java based sample code for developing on Android. The demos in this repository are stored on separate branches. To navigate to a demo, please click branches.

A curated list of data mining papers about fraud detection.

🎓 Tidy tools for academics

🏭 JavaScript Machine Learning Toolkit

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

General Assembly's 2015 Data Science course in Washington, DC

Fake News Detection in Python

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）

TransE方法的Python实现，解释SGD中TransE的向量更新

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

Python implementation of Andrew Ng's ML course projects

Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Deep Learning From Scratch

The "Python Machine Learning (1st edition)" book code repository and info resource

Source code for my blog post "Getting started with TensorFlow on iOS"

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Collection of stats, modeling, and data science tools in Python and R.

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent

A distributed logistic regression system based on ps-lite.

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

📈 Regression and Classification with UC Davis student quiz data and exam data

implementation of factorization machine, support classification.

100 Days of ML Coding

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Tracking, notes and programming snippets while learning predictive analytics

Distributed Fieldaware Factorization Machines based on Parameter Server

文本分类基准测试

A New, Interactive Approach to Learning Python

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Gender recognition by voice and speech analysis

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

machine learning algorithm

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

No description or website provided.

A tour of different optimization algorithms in PyTorch.