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Florent Amato's Projects

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-45min-intros icon data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

data-science-career icon data-science-career

Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository

data-science-hacks icon data-science-hacks

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

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.

data-science-roadmap icon data-science-roadmap

Learning from multiple companies in Silicon Valley. Netflix, Facebook, Google, Startups

dataops icon dataops

data operations ("dataOps") repo for issue queues & any version-controlled documentation

datasciencer icon datasciencer

a curated list of R tutorials for Data Science, NLP and Machine Learning

deep-learning-accelerator-sw icon deep-learning-accelerator-sw

NVIDIA DLA-SW, the recipes and tools for running deep learning workloads on NVIDIA DLA cores for inference applications.

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