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/OSCP-survival-guide
Kali Linux Offensive Security Certified Professional Survival Exam Guide
aashishpt/awesome-courses
:books: List of awesome university courses for learning Computer Science!
aashishpt/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
aashishpt/awesome-oscp
A curated list of awesome OSCP resources
aashishpt/awesome-scifi
Sci-Fi worth consuming
aashishpt/cheatsheets
RStudio Cheat Sheets
aashishpt/Data_Science_Interview_Guide
These are the tips for "5 Steps to Pass Data Science Interviews" By Siraj Raval on Youtube
aashishpt/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
aashishpt/dotfiles
My customization files
aashishpt/dotfiles-1
My dotfiles and personal preferences
aashishpt/fastai
The fastai deep learning library, plus lessons and and tutorials
aashishpt/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
aashishpt/imposter-v2
Code and Issues for the Imposter's Handbook, Season 2
aashishpt/interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
aashishpt/jupyterlab-vim
:neckbeard: Vim notebook cell bindings for JupyterLab
aashishpt/Learn-Natural-Language-Processing-Curriculum
This is the curriculum for "Learn Natural Language Processing" by Siraj Raval on Youtube
aashishpt/Learn_Data_Science_in_3_Months
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
aashishpt/Learn_Physics_in_2_Months
This is the curriculum for "Learn Physics in 2 Months" by Siraj Raval on Youtube
aashishpt/Machine-Learning-Curriculum
Complete path for a beginner to become a Machine Learning Scientist!
aashishpt/machine-learning-octave
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
aashishpt/Mining-the-Social-Web-3rd-Edition
The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)
aashishpt/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
aashishpt/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
aashishpt/papers-we-love
Papers from the computer science community to read and discuss.
aashishpt/pwc
Papers with code. Sorted by stars. Updated weekly.
aashishpt/Python-for-Signal-Processing
Notebooks for "Python for Signal Processing" book
aashishpt/Python-programming-exercises
100+ Python challenging programming exercises
aashishpt/rustlings
Small exercises to get you used to reading and writing Rust code!
aashishpt/scikit-learn
scikit-learn: machine learning in Python
aashishpt/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition