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An Interactive Approach to Understanding Unsupervised Learning Algorithms
A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the different algorithms works and their differents caracteristics.
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Streamlit app to Translate text to or between 50 languages with mBART-50 from Huggingface and Facebook
Translating Arabic Tweets to Arabizi (Arabic using Roman letters) and detecting offensive content in Arabizi using different types of models such as multinomial Naive Bayes, BiLSTM, CNN-LSTM , and …
This repository contains Sentiment Classification, Word Level Text Generation, Character Level Text Generation and other important codes/notes on NLP. Python and Keras are used for implementation.
How good is BERT ? Comparing BERT to other state-of-the-art approaches on a French sentiment analysis dataset
Implementing neural machine transliteration from english-to-hindi in tensorlfow 2.0
Transliteration from English to Chinese with a significant improvement
Automated Headline generation and Aspect Based Sentiment Analysis
中山大学自然语言处理项目：中文分词（序列标注/命名实体识别）。Keras实现，BiLSTM+CRF框架。
Code and data for paper 'Causality extraction based on self-attentive BiLSTM-CRF with transferred embeddings'
This repository contain code for Tensorflow named entity recognition using Bilstm , cnn and crf
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow t…
English, Hausa, Igbo and Yoruba corpora and results (presented in excel files) of word-level language identification research using the character trigram of the featured languages
Explains nlp building blocks in a simple manner.
Visualizing RNNs using the attention mechanism
Keras documentation, hosted live at keras.io
A Code-First Introduction to NLP course
Transliteration with ✌️ Machine Learning ✌️
A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.
This repo contains a set of neural transducer, e.g. sequence-to-sequence model, focusing on character-level tasks.