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Masoud Kazemi (mkaze)

mkaze

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Home Page:https://stackoverflow.com/users/2099607/today?tab=profile

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Masoud Kazemi's starred repositories

tf-explain

Interpretability Methods for tf.keras models with Tensorflow 2.x

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keras-nlp

Modular Natural Language Processing workflows with Keras

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keras-cv

Industry-strength Computer Vision workflows with Keras

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ParlAI

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

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rasa-nlu-examples

This repository contains examples of custom components for educational purposes.

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whatlies

Toolkit to help understand "what lies" in word embeddings. Also benchmarking!

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django-hashid-field

Django Model Field that uses Hashids to obscure the value

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nbval

A py.test plugin to validate Jupyter notebooks

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sense2vec

🦆 Contextually-keyed word vectors

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what-happens-when

An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"

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bpemb

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

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transformers

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

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rasa

đź’¬ Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

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peek

Simple animated GIF screen recorder with an easy to use interface

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flask-login

Flask user session management.

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wrk

Modern HTTP benchmarking tool

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bootstrap-rtl

RTL Theme for Bootstrap v3.x

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flask

The Python micro framework for building web applications.

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explore-flask

Source of Explore Flask book

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nlp_course

YSDA course in Natural Language Processing

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bert_spacy_rasa

Tutorial for BERT (and other transformer) embeddings with spaCy and Rasa

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spacy-transformers

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

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github-do-not-ban-us

GitHub do not ban us from open source world :iran:

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pysox

Python wrapper around sox.

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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awesome-deep-learning-papers

The most cited deep learning papers

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Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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keras-acgan

Auxiliary Classifier Generative Adversarial Networks in Keras

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CapsNet

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

License:MITStargazers:444Issues:0Issues:0

keras

Deep Learning for humans

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