Akash Ravichandran's repositories
automate-the-boring-stuff-projects
My solutions to all of the projects in Automate the Boring Stuff with Python
awesome-for-beginners
A list of awesome beginners-friendly projects.
Data-Science--Cheat-Sheet
Cheat Sheets
fastai
The fast.ai deep learning library, lessons, and tutorials
Coursera
Quiz & Assignment of Coursera
datacamp-python-data-science-track
All the slides, accompanying code and exercises all stored in this repo. 🎈
dlaicourse
Notebooks for learning deep learning
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
Google-Code-Jam-2019
My messy solutions for Google Code Jam 2019 (https://codingcompetitions.withgoogle.com/codejam/archive/2019)
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.
kmnist
Repository for Kuzushiji-MNIST, Kuzushiji-49, and Kuzushiji-Kanji
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
python-guide
Python best practices guidebook, written for humans.
pytorch-pretrained-BigGAN
🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
statistics-for-data-scientists
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"