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Cong Duy Vu Hoang's Projects

adaptnlp icon adaptnlp

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

allennlp icon allennlp

An open-source NLP research library, built on PyTorch.

allennlp-optuna icon allennlp-optuna

⚡️ AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy

bert-as-service icon bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bible-corpus icon bible-corpus

A multilingual parallel corpus created from translations of the Bible.

bleualign icon bleualign

Machine-Translation-based sentence alignment tool for parallel text

datasets icon datasets

🤗 Fast, efficient, open-access datasets and evaluation metrics for Natural Language Processing and more in PyTorch, TensorFlow, NumPy and Pandas

deep_translator icon deep_translator

A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

dsq icon dsq

dead Simple Queue - Slurm arrays for files with jobs in them.

dynet icon dynet

DyNet: The Dynamic Neural Network Toolkit

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

faster-rnnlm icon faster-rnnlm

Faster Recurrent Neural Network Language Modeling Toolkit with Noise Contrastive Estimation and Hierarchical Softmax

gmmn icon gmmn

Generative moment matching networks

gpt-neox icon gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

gpt4all icon gpt4all

gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue

gt-nlp-class icon gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

knockknock icon knockknock

🚪✊Knock Knock: Be notified when your training ends with only two additional lines of code

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