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algofreak's Projects

analyzing_amazon_product_reviews icon analyzing_amazon_product_reviews

Analyzing Amazon Product Reviews and generating valuable insights(positive and negative sentiments) to build a product Recommendation engine

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-video icon awesome-video

A curated list of awesome streaming video tools, frameworks, libraries, and learning resources.

awesome-video-1 icon awesome-video-1

A curated list of awesome video frameworks, libraries, specifications and software.

colorizing-with-gans icon colorizing-with-gans

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

data-augmentation-review icon data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

data-science-ipython-notebooks icon data-science-ipython-notebooks

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, AWS, and various command lines.

datasets icon datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

dotfiles icon dotfiles

.files, including ~/.osx — sensible hacker defaults for OS X

examples icon examples

Kubernetes application example tutorials

fonts icon fonts

Patched fonts for Powerline users.

iterm2-color-schemes icon iterm2-color-schemes

iTerm Colors - A set of iTerm 2 color schemes/themes. Some schemes have been ported from Mac OSX's Terminal application

keras-resnet icon keras-resnet

Residual networks implementation using Keras-1.0 functional API

magenta icon magenta

Magenta: Music and Art Generation with Machine Intelligence

ml-coursera-python-assignments icon ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

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