8196 Open source projects that are alternatives of or similar to Pytorch Question Answering

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

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A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

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

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

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top 1% solution to toxic comment classification challenge on Kaggle.

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머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Best Practices, code samples, and documentation for Computer Vision.

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

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This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Early stopping for PyTorch

The hands-on NLTK tutorial for NLP in Python

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PyTorch tutorial for learners

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

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NLP and Text Generation Experiments in TensorFlow 2.x / 1.x

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General Assembly's 2015 Data Science course in Washington, DC

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A collection of Jupyter notebooks showing how to use the Qiskit SDK

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A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

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This is a jupyter practical tutorial. Welcome to edit together!

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Jupyter notebook and datasets from the pandas Q&A video series

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.