418 Open source projects that are alternatives of or similar to RapLyrics-Back

The repository provides usefull python scripts for ML and data analysis

A curated list of resources dedicated to Natural Language Generation (NLG)

Implementation of cs229(Machine Learning taught by Andrew Ng) in python.

A collection of Methods and Models for various architectures of Artificial Neural Networks

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

Implementations of normalizing flows using python and tensorflow

Create an AI that chats like you

Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.

sources for daal4py - a convenient Python API to oneDAL

Tensorflow implementation of the Restricted Boltzmann Machine

A rehost of the python version of SPArse Modeling Software (SPAMS)

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

OSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes.

Python Clustering Algorithms

An extensive machine learning library, made from scratch (Python).

Programmable Decision Tree Framework

Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.

BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

Intention Mining in Social Networking. It Mines Emotions and polarity for the given keyword . For the keyword it searchers the twitter for the comments and analyzes the results for various events such as Election results, Sports prediction Movie ratings, Breaking news events such as demonetisation and many more. Bayes , Maximum Entropy and Hidde…

Machine Learning from scratch.

Text-generation API via GPT-2 for Cloud Run

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

模仿莎士比亚创作戏剧！屌炸天的是还能创作金庸武侠小说！快star，保持更新！！

Age classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum

Chinese NewsTitle Generation Project by GPT2.带有超级详细注释的中文GPT2新闻标题生成项目。

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

A tool that AI automatically recommends commit messages.

My main Machine Learning class

DGMs for NLP. A roadmap.

A repo with tutorials for algorithms from scratch

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

🍃 Using a Neural Network to recognize MNIST digets in JavaScript.

OpenAI GPT2 pre-training and sequence prediction implementation in Tensorflow 2.0

A PureScript, browser-based implementation of LDA topic modeling.

Set up the CTRL text-generating model on Google Compute Engine with just a few console commands.

2020华为软件精英挑战赛

Source code and dataset for KDD 2019 paper "Towards Knowledge-Based Personalized Product Description Generation in E-commerce"

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

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

NLP and Text Generation Experiments in TensorFlow 2.x / 1.x

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

DELTA is a deep learning based natural language and speech processing platform.

《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现

Large-scale pretraining for dialogue

R package to interface with OpenML

Automatic Generation of Brief Summaries of Time-Series Data

In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.

Launch machine learning models into production using flask, docker etc.

Mathematica implementations of machine learning algorithms used for prediction and personalization.

A list of popular deep learning models related to classification, segmentation and detection problems

Minimal and clean examples of machine learning algorithms implementations

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🤖 An authorial collection of fundamental python recipes on Machine Learning and Artificial Intelligence.

Exploring sklearn 🌟

Implementations of machine learning algorithm by Python 3

Parallel random matrix tools and complexity for deep learning