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Kabyle.AI's Projects

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

awesome-dl4nlp icon awesome-dl4nlp

A curated list of awesome Deep Learning for Natural Language Processing resources

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

baselines-emnlp2016 icon baselines-emnlp2016

Baseline models, training scripts, and instructions on how to reproduce our results for our state-of-art grammar correction system from M. Junczys-Dowmunt, R. Grundkiewicz: Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction, EMNLP 2016.

bergamot-translator icon bergamot-translator

Cross platform C++ library focusing on optimized machine translation on the consumer-grade device. Bindings to Python, JavaScript through WebAssembly.

bert icon bert

TensorFlow code and pre-trained models for BERT

bert-as-service icon bert-as-service

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

bert-ner icon bert-ner

Use Google's BERT for named entity recognition (CoNLL-2003 as the dataset).

bert-ner-tf icon bert-ner-tf

Named Entity Recognition with BERT using TensorFlow 2.0

bleualign icon bleualign

Machine-Translation-based sentence alignment tool for parallel text

conda-piptools icon conda-piptools

Quick demo of setting up a deep learning Python environment using conda and pip-tools.

datasets icon datasets

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

deep-learning-containers icon deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

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