Lists (5)
Awesome Reseources
15 repositories
CyberSecurity / Ethical Hacking
Repositories related to CyberSecurity, Ethical Hacking, Bug Hunting, Pentesting, etcData Science/ML/ Deep Learning
Repositories related to Data Science/ Machine Learning/ Deep Learning/ Data Analysis/ Web ScrappingGate 2023
Placement Preparation
1 repository
Starred repositories
Elasticity Based Demand Forecasting and Price Optimization for Online Retail Stores
1
Updated Dec 8, 2025
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
Hands-On Machine Learning for Algorithmic Trading, published by Packt
Code of the Unsupervised Traffic Accident Detection paper in Pytorch.
ODIR-2019: Ocular Disease Intelligent Recognition is a project leveraging state-of-the-art deep learning architectures to analyze and classify ocular diseases based on medical imaging data. This re…
Quantitative Investment Strategies (QIS) package implements Python analytics for visualisation of financial data, performance reporting, analysis of quantitative strategies.
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
🔊 High-precision web player for multi-device audio playback and spatial audio.
This app fetches market capitalization and GDP from the World Bank and computes the Buffett Indicator = Market Cap / GDP.
An Interview Primer for Quantitative Finance
Ipython notebooks for math and finance tutorials
😎 A curated list of robotics libraries and software
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
This source code is for the Java/Spring microservices course available on my YouTube channel
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspi…
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
A platform to learn to build systems at scale, from backend to LLMs.
1
Updated Aug 4, 2025
Source code accompanying O'Reilly book: Machine Learning Design Patterns
Code snippets for our Book solutions
Panel: The powerful data exploration & web app framework for Python
Repository for most of the code from my YouTube channel
Standalone man-in-the-middle attack framework used for phishing login credentials along with session cookies, allowing for the bypass of 2-factor authentication