2532 Open source projects that are alternatives of or similar to Applied Ml

A List of Data Science/Machine Learning Resources (Mostly Free)

PyTorch implementation of beam search decoding for seq2seq models

Accelerate your ML and Data workflows to production. Flyte is a production grade orchestration system for your Data and ML workloads. It has been battle tested at Lyft, Spotify, freenome and others and truly open-source.

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

Machine Learning notebooks for refreshing concepts.

Open Machine Learning course at MIPT

🧬 A JupyterLab extension for annotating data with Prodigy

🏖TagEditor - Annotation tool for spaCy

Datasets, tools, and benchmarks for representation learning of code.

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

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

📊 📋 Dashboards using YAML or JSON files

Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

A repo for data science related questions and answers

Data augmentation for NLP

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Complete-Life-Cycle-of-a-Data-Science-Project

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

It understands your voice commands, searches news and knowledge sources, and summarizes and reads out content to you.

Word Embeddings for Information Retrieval

A package to easily open an instance of a Google spreadsheet and interact with worksheets through Pandas DataFrames.

This is Andrew NG Coursera Handwritten Notes.

A simple Spark-powered ETL framework that just works 🍺

A convention over configuration workflow orchestrator. Develop locally (Jupyter or your favorite editor), deploy to Airflow or Kubernetes.

All the slides, accompanying code and exercises all stored in this repo. 🎈

The notes for Math, Machine Learning, Deep Learning and Research papers.

A clone of popular food and business review web app yelp

Versatile Data Kit (VDK) is an open source framework that enables anybody with basic SQL or Python knowledge to create their own data pipelines.

A curated list of awesome Distributed Deep Learning resources.

Easy way to define, execute and store quality rules for your data.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

AutoGluon: AutoML for Text, Image, and Tabular Data

Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Some JavaScript works published as demos, mostly ML or DS

Production Data Science: a workflow for collaborative data science aimed at production

Awesome Search - this is all about the (e-commerce) search and its awesomeness

Carefully curated resource links for data science in one place

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

A Python package for gender classification.

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

GitHub Action for repo2docker

TensorFlow Tutorials with YouTube Videos

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

EPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).

Powerful note-taking app with nested documents, full-text search, rich-text editor, code snippet editor and more

Deep Learning Toolkit for Medical Image Analysis

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Lightweight tool to deploy PyTorch models to AWS Lambda

📱 🏃 🍎 Fitness application that’s used to keep track of your physical fitness data, daily calorie count, invite friends to work out together and ultimately get healthy.

Series of the problem 💯 and solution ✅ asked by Daily Coding problem👨‍🎓 website.

📝 Подборка ресурсов по машинному обучению

Data analysis tool.