7121 Open source projects that are alternatives of or similar to Adaptnlp

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Machine Learning notebooks for refreshing concepts.

Train a state-of-the-art yolov3 object detector from scratch!

GPU accelerated cross filtering with cuDF.

Tutorial: Natural Language Processing in Python

Machine Learning University: Accelerated Natural Language Processing Class

Important paper implementations for Question Answering using PyTorch

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

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 journey into Convolutional Neural Network visualization

Auxiliary Classifier Generative Adversarial Networks in Keras

a collection of my notes on deep learning

Materials for deep NLP course

Use Transformers and LSTMs to learn Python source code

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

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

A real time optical flow algorithm implemented on GPU

A news recommendation system tailored for user communities

jupyter/ipython experiment containers for GPU and general RAM re-use

a sklearn wrapper for Google's BERT model

Jupyter Notebooks with Deep Learning Tutorials

A PyTorch implementation of GraphRel

Graph Convolution Network for NLP

Oxford Deep NLP 2017 course - Practical 1: word2vec

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/

The deeplearning algorithms implemented by tensorflow

A curated list of awesome embedding models tutorials, projects and communities.

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

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

Python implementation of TextRank for phrase extraction and summarization of text documents

Kaggle Data Science Bowl 2018

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

Data augmentation for NLP

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Comparison tools

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

How to build RNNs and LSTMs from scratch with NumPy.

kmeans using PyTorch

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

NPlusMiner + GUI | NVIDIA/AMD/CPU miner | AI | Autoupdate | MultiRig remote management

top 1% solution to toxic comment classification challenge on Kaggle.

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Entity linking framework

A clear, concise, simple yet powerful and efficient API for deep learning.

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

Web scrapping and related analytics using Python tools

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Примеры для курса "Программирование глубоких нейронных сетей на Python"

Models and Pipelines for the Spark NLP library

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.