Neeraj K's starred repositories
ML-Papers-Explained
Explanation to key concepts in ML
qiskit-machine-learning
Quantum Machine Learning
GI-Tract-Segmentation
Track organs in medical scans to improve cancer treatment.
t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
markdown-badges
Badges for your personal developer branding, profile, and projects.
Flower-Classification-Web-App-Streamlit
A deep learning web app , made using streamlit. Web app can deployed straight from Google collab
TensorFlow-Streamlit
serves the purpose of model deployment
Financial-aid-on-coursera-
Applying for financial aid on coursera
natural-language-processing-tensorflow
Natural Language processing in tensorflow
convolutional-neural-networks-tensorflow
In Course 2 of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models.
full-blockchain-solidity-course-py
Ultimate Solidity, Blockchain, and Smart Contract - Beginner to Expert Full Course | Python Edition
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Learn_Computer_Vision
This is the curriculum for "Learn Computer Vision" by Siraj Raval on Youtube
Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
DJANGO-Portfolio
Personal portfolio website made with Django framework in the backend, and with CSS, js, and bootstrap for the frontend.
zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.