1178 Open source projects that are alternatives of or similar to learningspoons

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Machine learning, in numpy

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

[ICCV 2021] TRAR: Routing the Attention Spans in Transformers for Visual Question Answering -- Official Implementation

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

Several basic neural machine translation models implemented by PyTorch & TensorFlow

BertQA - Attention on Steroids

Julia Implementation of Transformer models

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

Transformer implemented in Keras

TensorFlow implementation of 'Attention Is All You Need (2017. 6)'

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

Implementation of State-of-the-art Text Classification Models in Pytorch

Natural Language Processing Tutorial for Deep Learning Researchers

An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

list of efficient attention modules

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

Embedding模型代码和学习笔记总结

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Enhanced BiLSTM Inference Model for Natural Language Inference

Fine-grained Sentiment Analysis of User Reviews --- AI CHALLENGER 2018

Summary of Transformer applications for computer vision tasks.

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

End-to-end ASR/LM implementation with PyTorch

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

Neural Machine Translation with Keras

a collection of visualization function

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Official and maintained implementation of the paper Attention-Based Transformers for Instance Segmentation of Cells in Microstructures [BIBM 2020].

Multi-turn dialogue baselines written in PyTorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

NLP: Relation extraction with position-aware self-attention transformer

Chinese Word Segmention Base on the Deep Learning and LSTM Neural Network

Sarcasm Detection for Sentiment Analysis

基于LSTM网络与自注意力机制对中文评论进行细粒度情感分析

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

TensorFlow implementation of word2vec applied on https://www.kaggle.com/tamber/steam-video-games dataset, using both CBOW and Skip-gram.

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

All about Neural Networks!

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

Exploring the simple sentence similarity measurements using word embeddings

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

Predict materials properties using only the composition information!

A PyTorch Implementation of "Attention Is All You Need"

2018-JDDC大赛第4名的解决方案

Unofficial implementation algorithms of attention models on SNLI dataset

Sequence to Sequence Models in PyTorch