1630 Open source projects that are alternatives of or similar to Get_started_with_deep_learning_for_text_with_allennlp

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

repo with challenge material for riceteacatpanda (2020)

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

💫 Industrial-strength Natural Language Processing (NLP) in Python

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 …

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.

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

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.

A curated list of awesome awesomeness about artificial intelligence

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

PyTorch Tutorial for Deep Learning Researchers

List of AI Residency & Research programs, Ph.D Fellowships, Research Internships

How to use TensorLayer

Collection of useful data science topics along with code and articles

Learning to Learn in TensorFlow

Github repo with tutorials to fine tune transformers for diff NLP tasks

Mycroft Core, the Mycroft Artificial Intelligence platform.

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

Official Stanford NLP Python Library for Many Human Languages

📚 [.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

Grokking Deep Reinforcement Learning

An evolving guide to learning Deep Learning effectively.

SincNet is a neural architecture for efficiently processing raw audio samples.

Disclaimer: This is not an official Google product.

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

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

Deep Learning Computer Vision Algorithms for Real-World Use

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

This is an open sourced book on deep learning.

⏰ AI conference deadline countdowns

An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

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

Build Graph Nets in Tensorflow

A collection of notebooks for Natural Language Processing from NLP Town

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.

Support content for my blog

国内公司人工智能方向（含机器学习、深度学习、计算机视觉和自然语言处理）岗位的招聘信息（含全职、实习和校招）

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Notes on Deep Reinforcement Learning for Natural Language Processing papers

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

The Open Source AI Chatbot Platform Builder in 100% C# Running in .NET Core with Machine Learning algorithm.

Daily Dose of Neural Network that Everyone Needs

Cornell Instruction Following Framework

🔮Deep Learning for text made easy with AllenNLP

Self-contained Machine Learning and Natural Language Processing library in Go

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

Machine Reading Comprehension in Tensorflow

Machine learning based text classification in JavaScript using n-grams and cosine similarity

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

TensorHub is a library built on top of TensorFlow 2.0 to provide simple, modular and repeatable abstractions to accelerate deep learning research.

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

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.

Deep Learning tools for brain medical images

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

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

Language, Knowledge, Cognition