Lingvo

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

Time series forecasting on an hourly energy dataset, with LSTM & Transformer models implemented in PyTorch Lightning. Deployment of the Transformer model using Docker, with GPU support.

Gateway into the John Snow Labs Ecosystem

An elegent pytorch implement of transformers

NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference

High-performance PyTorch Library for Quantitative Finance

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

I performed the task of sequence-to-sequence mapping using 3 generation of Encoder-Decoder architectures namely RNN, LSTM and Transformers

Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.

A large collection of Khmer language resources. Khmer is a language used by Cambodia.

Health Vault is a web application designed to empower individuals in managing their health records seamlessly.

torchsharp functionality check and model implementation

TextGen: Implementation of Text Generation models, include LLaMA, BLOOM, GPT2, BART, T5, SongNet and so on. 文本生成模型，实现了包括LLaMA，ChatGLM，BLOOM，GPT2，Seq2Seq，BART，T5，UDA等模型的训练和预测，开箱即用。

An English - German Neural Machine Translation System informed by Bahdanau et al. (2014).

Contains .pptx slides I used for my NLP class. Includes an introductory slide which deals with text pre-processing, and then proceeds with text classification, sentiment analysis, named entity recognition, topic modelling, finding similarity between documents, text generation and finally, language translation. Worked out ANN, CNN and RNN too.

tfts: Time Series Deep Learning Models in TensorFlow

Chabot is an application with a graphical user interface that uses various natural language processing (NLP) techniques to tokenize, stem, find stop words, and apply regular expressions to user-input text. The interface is built using Tkinter.

A small seq2seq punctuator tool based on DistilBERT

Language Translation model based on Seq2Seq architecture(Reimplementation of 2014 paper named "Sequence to Sequence Learning with Neural Networks")