241 Open source projects that are alternatives of or similar to Pytorch Continuous Bag Of Words

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

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Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

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

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Curated list of 2vec-type embedding models

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Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

This is an open sourced book on deep learning.

Implementation of the node2vec algorithm.

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In-depth tutorials for implementing deep learning models on your own with PyTorch.

Pytorch implementation of convolutional neural network adversarial attack techniques

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Solves basic Russian NLP tasks, API for lower level Natasha projects

Nimfa: Nonnegative matrix factorization in Python

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

Fast word vectors with little memory usage in Python

Implementing Siamese networks with a contrastive loss for similarity learning

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

finalfusion embeddings in Rust

Kind PyTorch Tutorial for beginners

A tool for learning vector representations of words and entities from Wikipedia

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Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)

🔥 Reproducibly benchmarking Keras and PyTorch models

Some tricks of pytorch... ⭐️

A python package to run contextualized topic modeling. CTMs combine BERT with topic models to get coherent topics. Also supports multilingual tasks. Cross-lingual Zero-shot model published at EACL 2021.

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Library for faster pinned CPU <-> GPU transfer in Pytorch

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Implementation of triplet loss in TensorFlow

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

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An implementation of word2vec applied to [stanford philosophy encyclopedia](http://plato.stanford.edu/)

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Data augmentation for NLP, presented at EMNLP 2019

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors

Rare pupper image compression model for word-embedding-esque operations.

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Curated List of Persian Natural Language Processing and Information Retrieval Tools and Resources