Balraj Ashwath's repositories

AHDRNet

Attention-guided Network for Ghost-free High Dynamic Range Imaging

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AnomalyDetection

Anomaly Detection with R

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d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

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Data-Analysis

Data Science Using Python

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DataScienceSpecialization.github.io

http://DataScienceSpecialization.github.io

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Deep-Exemplar-based-Colorization

The source code of "Deep Exemplar-based Colorization".

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deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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deghosting-hdr

Deghosting algorithm comparison of High Dynamic Range Imaging with motions

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Games

Some games created by python code.

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gensim

Topic Modelling for Humans

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google-research

Google AI Research

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gym

A toolkit for developing and comparing reinforcement learning algorithms.

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HDR_Toolbox

HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave

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home-assistant

:house_with_garden: Open source home automation that puts local control and privacy first

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image-colorization

Image and Video Colorization using CNN

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kaggle-api

Official Kaggle API

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loghub

A large collection of system log datasets for AI-powered log analytics

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loglizer

A log analysis toolkit for automated anomaly detection [ISSRE'16]

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LovaszSoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

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NLP-with-Python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

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personal

Contains Jupyter Notebooks of stuff I am working on.

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pydata_nyc2018-intro-to-model-interpretability

Notebook and slides for my talk at Pydata NYC 2018

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pytorch-segmentation-detection

Image Segmentation and Object Detection in Pytorch

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pytorch_vsum-ptr-gan

A PyTorch implementation of VSumPtrGAN

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robust_loss_pytorch

A pytorch port of google-research/google-research/robust_loss/

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seaborn

Statistical data visualization using matplotlib

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segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

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tensorflow_notes

Tensorflow notes

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Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

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weakly_supervised_localizations_tf

CNNs based weakly supervised localizations in Tensorflow

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