VishwasDevnani

Graph-Neural-Networks-in-Life-Sciences

py-earth

A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines

ngboost

Natural Gradient Boosting for Probabilistic Prediction

gplearn

Genetic Programming in Python, with a scikit-learn inspired API

GPBoost

Combining tree-boosting with Gaussian process and mixed effects models

xournalpp

Xournal++ is a handwriting notetaking software with PDF annotation support. Written in C++ with GTK3, supporting Linux (e.g. Ubuntu, Debian, Arch, SUSE), macOS and Windows 10. Supports pen input from devices such as Wacom Tablets.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

YouTubeLI

Github repo to upload demo files of youtube videos and linkedin

Natural-Language-Processing

This repository host code of my NLP playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP6zMkHMxFJV4yXIsET5aWlc

all-of-statistics

Self-study on Larry Wasserman's "All of Statistics"

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

CS231n

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

SETI-Breakthrough-Listen

Solution to the SETI Breakthrough Listen Competition hosted on Kaggle

ml-blogs-that-are-worth-reading

Blogs on Machine Learning and Deep learning

ML_Resources

GitHub Repo with various ML/AI/DS resources that I find useful

nlp_essentials

Essential and Fundametal aspects of Natural Language Processing with hands-on examples and case-studies

CS231n-2017-Summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

awesome-full-stack-machine-courses

Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

cp-vton

Reimplemented code for "Toward Characteristic-Preserving Image-based Virtual Try-On Network"

FeatureSelectionGA

Feature Selection using Genetic Algorithm (DEAP Framework)

youtube_tutorials

Collection of scripts corresponding to LucidProgramming YouTube tutorials

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

high-fidelity-generative-compression

Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

26-Weeks-Of-Data-Science

Email Newsletter

python-svm-sgd

Python implementation of stochastic sub-gradient descent algorithm for SVM from scratch

ISLR-Python-Labs

Python Labs for Introduction to Statistical Learning in R

ieee_epsilon_2021

This repository provides a simple deployment-ready project layout for a Streamlit app. Simply swap out the code in `app.py` for your own and hit deploy!

Deep-Learning-Projects-Using-TensorFlow-2

source code