6491 Open source projects that are alternatives of or similar to Jddc_solution_4th

BertQA - Attention on Steroids

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.

Natural Language Processing Tutorial for Deep Learning Researchers

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.

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

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

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

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

🧑‍🏫 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, ... 🧠

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.

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

Electra pre-trained model using Vietnamese corpus

Transformer implemented in Keras

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Neural question generation using transformers

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

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

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

Use tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

Original implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.

Datasets I have created for scientific summarization, and a trained BertSum model

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Multi-turn dialogue baselines written in PyTorch

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

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

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

Summary of Transformer applications for computer vision tasks.

a collection of visualization function

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Best Practices and Style Guides in BEEVA

BERT for Multitask Learning

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

End-to-end ASR/LM implementation with PyTorch

list of efficient attention modules

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

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

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

GPT-2 French demo | Démo française de GPT-2

A PyTorch Implementation of "Attention Is All You Need"

My Attempt(s) In The World Of ML/DL....

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

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

Indonesian Language Models and its Usage

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

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

Build and train state-of-the-art natural language processing models using BERT

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

Julia Implementation of Transformer models

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

nlp lecture-notes and source code

Predict materials properties using only the composition information!

论文“Attention-over-Attention Neural Networks for Reading Comprehension”中AoA模型实现

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

Hierarchical Attention Networks for Chinese Sentiment Classification