514 Open source projects that are alternatives of or similar to deep-molecular-optimization

Minimalist NMT for educational purposes

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

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

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

Embedding模型代码和学习笔记总结

Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging

NLP Core Library and Model Zoo based on PaddlePaddle 2.0

Neutron: A pytorch based implementation of Transformer and its variants.

End-to-end ASR/LM implementation with PyTorch

Multi-turn dialogue baselines written in PyTorch

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

A PyTorch Implementation of "Attention Is All You Need"

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

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.

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

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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

PyTorch v1.2에서 생긴 Transformer API 를 이용한 간단한 Chitchat 챗봇

pix2tex: Using a ViT to convert images of equations into LaTeX code.

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

Vision-Language Transformer and Query Generation for Referring Segmentation (ICCV 2021)

Neural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)

"A survey of Transformer" paper study 👩🏻‍💻🧑🏻‍💻 KoreaUniv. DSBA Lab

🎬 Video Captioning: ICCV '15 paper implementation

Neural network that solves math equations on the character level

Code base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

Sign Language Translation with Transformers (COLING'2020, ECCV'20 SLRTP Workshop)

Any-to-any voice conversion by end-to-end extracting and fusing fine-grained voice fragments with attention

Using pre-trained BERT models for Chinese and English NER with 🤗Transformers

Tensorflow based Neural Conversation Models

Contextualised Embeddings and Language Modelling using BERT and Friends using R

Fiction generator with Tensorflow. 模仿王小波的风格的小说生成器

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

a collection of visualization function

Implementation of FontRNN [Computer Graphics Forum, 2019].

End-to-end Temporal Action Detection with Transformer. [Under review for a journal publication]

Codes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.

自然语言处理常见任务（主要包括文本分类，序列标注，自动问答等）解决方案试验田

A simple open domain generative based chatbot based on Recurrent Neural Networks

RSTNet: Captioning with Adaptive Attention on Visual and Non-Visual Words (CVPR 2021)

Laravel 5 HAL+JSON API Transformer Package

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

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

Tutel MoE: An Optimized Mixture-of-Experts Implementation

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

Trained T5 and T5-large model for creating keywords from text

seq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer

Grapheme to phoneme conversion with deep learning.

No description or website provided.

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Representing Long-Range Context for Graph Neural Networks with Global Attention

Transfromer tensorflow2.0版本实现

[ACL 2020] DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

Transformer implementation speciaized in speech recognition tasks using Pytorch.