2856 Open source projects that are alternatives of or similar to Learn Data Science For Free

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 delightful machine learning tool that allows you to train, test, and use models without writing code

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

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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.

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

Support content for my blog

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

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A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

🍳 Recipes for the Prodigy, our fully scriptable annotation tool

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Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

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Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

How to use TensorLayer

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Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Data augmentation for NLP

[UNMAINTAINED] Automated machine learning for analytics & production

Library to scrape and clean web pages to create massive datasets.

Collection of useful data science topics along with code and articles

A curated list of awesome Distributed Deep Learning resources.

This is the Repository where you can find all the solution of the Problems which you solve on competitive platforms mainly HackerRank and HackerEarth

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

Machine Learning notebooks for refreshing concepts.

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

Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Daily Dose of Neural Network that Everyone Needs

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Deep Learning Computer Vision Algorithms for Real-World Use

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Curated list of Python resources for data science.

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

A high-level machine learning and deep learning library for the PHP language.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Getting started with AllenNLP and PyTorch by training a tweet classifier

An open-source platform for automating tasks using machine learning models

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

This repository contains notes and projects of Data scientist track from dataquest course work.

A curated list of awesome awesomeness about artificial intelligence

PySwip is a Python - SWI-Prolog bridge enabling to query SWI-Prolog in your Python programs. It features an (incomplete) SWI-Prolog foreign language interface, a utility class that makes it easy querying with Prolog and also a Pythonic interface.

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

High-quality implementations of standard and SOTA methods on a variety of tasks.

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A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

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

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

AutoGluon: AutoML for Text, Image, and Tabular Data

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Companion code for the book "Mastering Social Media Mining with Python"