7149 Open source projects that are alternatives of or similar to Fromscratch

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

Machine Learning notebooks for refreshing concepts.

Make a pull request. Let's hack the ocktober in an innovative way.

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

The Python Code Tutorials

Simple XLNet implementation with Pytorch Wrapper

BERT score for text generation

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Quiz & Assignment of Coursera

Daily Dose of Neural Network that Everyone Needs

BERT semantic search engine for searching literature research papers for coronavirus covid-19 in google colab

Quiz & Assignment of Coursera

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

A collection of notebooks for Natural Language Processing from NLP Town

📚 [.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

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

💬 Machine Learning Course with Python:

My blogs and code for machine learning. http://cnblogs.com/pinard

Resources for "Natural Language Processing" Coursera course.

✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition

Learn advanced data science on real-life, curated problems

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.

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

Code for PyCon JP 2019 talk "Python による日本語自然言語処理 〜系列ラベリングによる実世界テキスト分析〜"

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

Official Repository for 'Practical Natural Language Processing' by O'Reilly Media

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Open Machine Learning course at MIPT

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Jupyter notebooks in Russian. Introduction to Python, basic algorithms and data structures

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

This is my repository for Data Structures using Python

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

Learn how to responsibly deliver value with ML.

Build a bot that speaks like you!

Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2).

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

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

Introduction to Data Science

Course repo for Applied Natural Language Processing (Spring 2019)

DeepLearning.AI TensorFlow Developer Professional Certificate Specialization

Pre-trained Mongolian BERT models

A python code to detect emotions from text

Electra pre-trained model using Vietnamese corpus

Overview of NLP tools and techniques in python

🍣 Implementations of fundamental algorithms and data structures. Happy Hacktoberfest!

🎵 Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Multilingual word vectors in 78 languages

Python tutorials as Jupyter Notebooks for NLP, ML, AI

Information about my experiences on ethical hacking 💀

자연어 처리와 관련한 여러 튜토리얼 저장소

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

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

An algorithm to augment syntactic hierarchy into word embeddings

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course