neerajk's Stars
keras-team/keras
Deep Learning for humans
sqlmapproject/sqlmap
Automatic SQL injection and database takeover tool
ivy-llc/ivy
Convert Machine Learning Code Between Frameworks
scipy/scipy
SciPy library main repository
Ileriayo/markdown-badges
Badges for your personal developer branding, profile, and projects.
smartcontractkit/full-blockchain-solidity-course-py
Ultimate Solidity, Blockchain, and Smart Contract - Beginner to Expert Full Course | Python Edition
kornia/kornia
Geometric Computer Vision Library for Spatial AI
dair-ai/ML-Papers-Explained
Explanation to key concepts in ML
jeffheaton/t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Qiskit/qiskit
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
mrdbourke/zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.
keras-team/keras-io
Keras documentation, hosted live at keras.io
llSourcell/Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
https-deeplearning-ai/tensorflow-1-public
praetorian-inc/Hob0Rules
Password cracking rules for Hashcat based on statistics and industry patterns
qiskit-community/qiskit-machine-learning
Quantum Machine Learning
abdelrahmaan/Financial-aid-on-coursera-
Applying for financial aid on coursera
justinsteven/advisories
js13kGames/resources
Tools, assets and tutorials for creating small HTML/JavaScript games.
nicknochnack/TFODApp
krishnaik06/Complete-Deep-Learning-With-Materials
vikash0837/-Introduction-to-TensorFlow-for-Artificial-Intelligence-Machine-Learning-and-Deep-Learning
nachi-hebbar/Flower-Classification-Web-App-Streamlit
A deep learning web app , made using streamlit. Web app can deployed straight from Google collab
camara94/natural-language-processing-tensorflow
Natural Language processing in tensorflow
camara94/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.
jakkcoder/TensorFlow-Streamlit
serves the purpose of model deployment
manharsharma007/GI-Tract-Segmentation
Track organs in medical scans to improve cancer treatment.
neerajk/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
neerajk/DJANGO-Portfolio
Personal portfolio website made with Django framework in the backend, and with CSS, js, and bootstrap for the frontend.
neerajk/Learn_Computer_Vision
This is the curriculum for "Learn Computer Vision" by Siraj Raval on Youtube