singhsukhendra

A-to-Z-Resources-for-Students

Curated list of resources for college students :octocat: Show your :heart: by giving a :star:

awesome-text-summarization

A curated list of resources dedicated to text summarization

Breast-Cancer-Coimbra-Data-Set-

this provides comaparison of machine learning algorithms on breast cancer Coimbra dataset taken from UCI ML repository

BreastCancerDetection

DeepQuaternionNetworks

Code for Deep Quaternion Networks

dlaicourse

Notebooks for learning deep learning

ML-Notebooks

:fire: A series of code examples for all sorts of machine learning tasks and applications.

practicalAI

A practical approach to learning machine learning.

Python-Crash-Course

Code samples for a Python Begineer

stanford-tensorflow-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

singhsukhendra/ML-Notebooks

:fire: A series of code examples for all sorts of machine learning tasks and applications.

singhsukhendra/ML-Course-Notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

singhsukhendra/MyExperiments2023

singhsukhendra/transformers

vision transformer and attention

singhsukhendra/Python-Crash-Course

Code samples for a Python Begineer

singhsukhendra/100-Days-Of-ML-Code

100 Days of ML Coding

singhsukhendra/2015

Public material for CS109

singhsukhendra/30-Days-Of-Python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

singhsukhendra/Air-Pollution-Modeling

singhsukhendra/awesome-image-classification

A curated list of deep learning image classification papers and codes

singhsukhendra/CNN-Transfer-learning-Pneumonia-detection

Pneumonia detection using CNN

singhsukhendra/computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

singhsukhendra/Data_Analytics_Lab

singhsukhendra/deeplearningpneumonia

Detecting Viral and Bacterial Pneumonia from Chest Xrays With Colaboratory, Drive, Transfer Learning, and Data Augmentation

singhsukhendra/learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

singhsukhendra/Machine-Learning-with-Python-practice-code

Python code for common Machine Learning Algorithms

singhsukhendra/mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

singhsukhendra/movie-sentiment-analysis-with-deep-neural-networks

Training three separate Sentiment Classification Models, namely: Simple Neural Net, CNN & LSTM, on the popular IMDb Movie Reviews dataset. We shall get a first hand sense on why LSTMs are well suited to handle (sequential) text data.

singhsukhendra/nn-zero-to-hero

Neural Networks: Zero to Hero

singhsukhendra/practical-python

Practical Python Programming (course by @dabeaz)

singhsukhendra/project-based-learning

Curated list of project-based tutorials

singhsukhendra/Python

All Algorithms implemented in Python

singhsukhendra/Python-programming-exercises

100+ Python challenging programming exercises

singhsukhendra/qftpy

[WIP] Quaternion Fourier Transform and Convolution / 四元數傅里葉變換

singhsukhendra/Quaternion-Convolutional-Neural-Networks

Quaternion Convolutional Neural Networks: A novel approach that extends traditional convolutional neural networks by introducing quaternions, a hypercomplex number system. The proposed method outperforms traditional CNNs on several image classification tasks while maintaining a similar number of parameters.

singhsukhendra/quaternion_neurons

singhsukhendra/singhsukhendra

Config files for my GitHub profile.

singhsukhendra/SS-PythonFullCourse

12 Hour Python Course

singhsukhendra/transformers_code

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

singhsukhendra/VitCovid-Classification

A ViT based image classification model that classifies chest x-ray images as lung opacity, normal, viral pneumonia or COVID-19 positive.