Rushirajsinh Parmar's repositories
Computer-Vision-Colab-Notebooks
My Implementation of various Computer Vision projects on Google Colab
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 linear regression to deep learning.
18337
18.337 - Parallel Computing and Scientific Machine Learning
algorithms
Minimal examples of data structures and algorithms in Python
Applied-Deep-Learning
Applied Deep Learning
awesome-normalizing-flows
A list of awesome resources on normalizing flows.
Awesome-Super-Resolution
Collect super-resolution related papers, data, repositories
Best-Data-Science-Resources
This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.
build-your-own-x
🤓 Build your own (insert technology here)
CompetitiveProgrammingQuestionBank
This repository contains all the popular Competitive Programming and DSA questions with solutions for your Coding Interview Preparation.
Data-science
Collection of useful data science topics along with code and articles
EGVSR
Efficient & Generic Video Super-Resolution
EVA6
Extensive Vision AI - The Dawn of Transformers for Computer Vision
fastai_pruning
Implementation of pruning techniques in fastai
GFNet
Global Filter Networks for Image Classification
glasses
High-quality Neural Networks for Computer Vision 😎
Image-processing-algorithm
paper implement
jekyll-now
Build a Jekyll blog in minutes, without touching the command line.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
machine-learning-interview
Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
ML-foundations
Machine Learning Foundations: Algebra, Calculus, Statistics & Computer Science
phd-resources
We found that there is a lack of a properly maintained list of websites and other links for people who are applying or planning to apply to Ph.D. programs. Feel free to make changes to the README file and submit your pull requests. The requests will be duly cross-checked and approved to keep this list spam-free.
PyTorch-Image-Classification
Boiler Plate Code and a standard Template for Image Classification tasks in PyTorch
pytorch-tensor-decompositions
PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.
satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
siren-pytorch
Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
STDF-PyTorch
PyTorch implementation of "Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement", AAAI 2020.
walkwithfastai.github.io
Host for https://walkwithfastai.com