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Jan Bours's Projects

scribe icon scribe

Realistic Handwriting with Tensorflow

segan icon segan

Speech Enhancement Generative Adversarial Network in TensorFlow

selenium-wire icon selenium-wire

Extends Selenium's Python bindings to give you the ability to inspect requests made by the browser.

sense2vec icon sense2vec

🦆 Use NLP to go beyond vanilla word2vec

sensegram icon sensegram

Making sense embedding out of word embeddings using graph-based word sense induction

sensemakr icon sensemakr

Suite of sensitivity analysis tools for OLS

sentiment-analysis icon sentiment-analysis

Twitter is one of the biggest social media platform on which people can express views and sentiments on variety of topics. Our project is to analysis this data and visualize it on a world map. In the first half we fetch the coordinates of the trending topics and plot it on the world map by using python libraries. In the second half we differentiate all the coordinates on the basis of sentiments (In our case Positive, neutral, negative) by doing Natural Language Processing and color code on the graph.

sentiment_analysis icon sentiment_analysis

This is the code for "Sentiment Analysis - Data Lit #1" by Siraj Raval on Youtube

sepsisrl icon sepsisrl

Reinforcement Learning for optimal sepsis treatment policies

seqicp icon seqicp

:exclamation: This is a read-only mirror of the CRAN R package repository. seqICP — Sequential Invariant Causal Prediction

sequence_gan icon sequence_gan

Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).

serpentai icon serpentai

Game Agent Framework. Helping you create AIs / Bots to play any game you own!

sgan icon sgan

Stacked Generative Adversarial Networks

shap icon shap

Explain the output of any machine learning model using expectations and Shapley values.

shapash icon shapash

Shapash makes Machine Learning models transparent and understandable by everyone

shapedtw icon shapedtw

A shape-embedded dynamic time warping (DTW) algorithm. To the best of our knowledge, shapeDTW beats all other DTW variants on UCR time series datasets.

shinytools icon shinytools

Code for "Causal inference for data scientists: a skeptical view"

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