Pinned Repositories
100DaysOfMLCode
2018
Fall 2018 repository with course materials for JHU Advanced Data Science
2019
Fall 2019 repository with course materials for JHU Advanced Data Science
actor-framework
An Open Source Implementation of the Actor Model in C++
AI-Resources
AI Resources
airflow-maintenance-dags
A series of DAGs/Workflows to help maintain the operation of Airflow
airflow-scheduler-failover-controller
A process that runs in unison with Apache Airflow to control the Scheduler process to ensure High Availability
Algorithms---Part-I
Offered by Princeton. Part I of this course covers topics on data types, sorting, and searching.
Algorithms---Part-II
Offered by Princeton. Part II of this course covers topics on graphs, strings, and other advanced topics.
raghav3112's Repositories
raghav3112/airflow-maintenance-dags
A series of DAGs/Workflows to help maintain the operation of Airflow
raghav3112/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
raghav3112/AWS-SAA-C02
raghav3112/Cloud-DevSecOps-Learning
Collection of Cloud and DevSecOps learning resources
raghav3112/cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
raghav3112/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.
raghav3112/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.
raghav3112/data-science-projects
A Collection of Data Science/ML Projects
raghav3112/deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
raghav3112/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.
raghav3112/deeplearning-models
A collection of various deep learning architectures, models, and tips
raghav3112/devops-directive
Code samples from the DevOps Directive YouTube channel
raghav3112/diagrams
:art: Diagram as Code for prototyping cloud system architectures
raghav3112/dl-workshop
Crash course to master gradient-based machine learning. Also secretly a JAX course in disguise!
raghav3112/enterprise-solutions
solution references for building API based enterprise software
raghav3112/essays-on-data-science
In which I put together my thoughts on the practice of data science.
raghav3112/examples-3
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
raghav3112/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.
raghav3112/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.
raghav3112/kubernetes-engine-samples
Sample applications for Google Kubernetes Engine (GKE)
raghav3112/learn-python
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
raghav3112/MaxSkeleton-IBM
raghav3112/mlday-tokyo
Colabs for ML Day Tokyo
raghav3112/mq-dev-patterns
Code samples and messaging patterns for IBM MQ developers
raghav3112/mq-rfhutil
Message creation, editing and replay to help test MQ and IIB/ACE applications. Previously released as IH03 RFHUTIL SupportPac
raghav3112/python-docs-samples
Code samples used on cloud.google.com
raghav3112/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
raghav3112/statsmodels
Statsmodels: statistical modeling and econometrics in Python
raghav3112/tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
raghav3112/tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course