raghav3112

raghav3112

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raghav3112's repositories

airflow-maintenance-dags

A series of DAGs/Workflows to help maintain the operation of Airflow

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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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Cloud-DevSecOps-Learning

Collection of Cloud and DevSecOps learning resources

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cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

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d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

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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.

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data-science-projects

A Collection of Data Science/ML Projects

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deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

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deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

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deeplearning-models

A collection of various deep learning architectures, models, and tips

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devops-directive

Code samples from the DevOps Directive YouTube channel

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diagrams

:art: Diagram as Code for prototyping cloud system architectures

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dl-workshop

Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!

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enterprise-solutions

solution references for building API based enterprise software

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essays-on-data-science

In which I put together my thoughts on the practice of data science.

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examples-3

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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GCPSketchnote

If you are looking to become a Google Cloud Engineer , then you are at the right place. GCPSketchnote is series where I share Google Cloud concepts in quick and easy to learn format.

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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kubernetes-engine-samples

Sample applications for Google Kubernetes Engine (GKE)

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learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

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mlday-tokyo

Colabs for ML Day Tokyo

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mq-dev-patterns

Code samples and messaging patterns for IBM MQ developers

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mq-rfhutil

Message creation, editing and replay to help test MQ and IIB/ACE applications. Previously released as IH03 RFHUTIL SupportPac

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python-docs-samples

Code samples used on cloud.google.com

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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statsmodels

Statsmodels: statistical modeling and econometrics in Python

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tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

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tf2_course

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

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