Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
AirSim
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
algorithm-archive
A collaborative book on algorithms
Algorithmic-Toolbox
This repository will contain my work from the Master Algorithmic Programming Techniques Specialization that was created by UC San Diego and delivered through Coursera.
AnatomyOfMatplotlib
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
approachingalmost
Approaching (Almost) Any Machine Learning Problem
mlops-guide.github.io
🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
swcarpentry
A meta-repository to help navigate the many lessons and repos of the Software Carpentry Community
aashishpt's Repositories
aashishpt/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
aashishpt/100-Days-Of-ML-Code
100 Days of ML Coding
aashishpt/Algorithmic-Toolbox
This repository will contain my work from the Master Algorithmic Programming Techniques Specialization that was created by UC San Diego and delivered through Coursera.
aashishpt/awesome-cheatsheets
📚 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
aashishpt/awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
aashishpt/Coursera-Algorithmic-Toolbox
This repository contains all the solutions for the assignments of the course - Algorithmic Toolbox offered on Coursera.
aashishpt/CS519-006-DL
Deep Learning
aashishpt/data-science
:bar_chart: Path to a free self-taught education in Data Science!
aashishpt/edXanalyticsEdge
edx Analytics Edge using R ( and python in Future)
aashishpt/efficientR
Efficient R programming: a book
aashishpt/emacs-playground
Manage sandboxes for alternative Emacs configurations
aashishpt/fastai_in_colab
I'll be working through the Fast.ai courses entirely in Google Colab notebooks. I'll publish them here!
aashishpt/Free-Deep-Learning-Books
A curated collection of free Deep Learning related eBooks
aashishpt/go
The Open Source Data Science Masters
aashishpt/hackermath
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
aashishpt/Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
aashishpt/learn_math_fast
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
aashishpt/lectures
Oxford Deep NLP 2017 course
aashishpt/MakingLyst
A peek into the tech and design at Lyst
aashishpt/manber-introduction-to-algorithms-solutions
Collection of solutions for the exercises proposed in Udi Manber's book: Introduction to Algorithms -- A Creative Approach.
aashishpt/MTH594_MachineLearning
The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)
aashishpt/notebooks
My IPython Notebooks - I publish many of these as blog posts here http://georg.io/
aashishpt/OSCP-Prep
A list of the resources I use as I get ready for the exam
aashishpt/pentest-notes
aashishpt/project-based-learning
Curated list of project-based tutorials
aashishpt/python_for_visres
Intro to Python for Vision Research
aashishpt/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
aashishpt/Tensorflow-License-Plate-Detection
The project developed using TensorFlow to recognize the License Plate from a car and to detect the charcters from it.
aashishpt/UdemyCourse
Code for my programming course on Udemy. Over 7000 students from 130 countries have already joined.
aashishpt/weblinux