AshVijay's starred repositories
Ethical-Hacking-Tools
Complete Listing and Usage of Tools used for Ethical Hacking
DNN-decompiler
BTD - Bin To DNN: A DNN Executables Decompiler
python-mastery
Advanced Python Mastery (course by @dabeaz)
blackhat-python3
Source code for the book "Black Hat Python" by Justin Seitz. The code has been fully converted to Python 3, reformatted to comply with PEP8 standards and refactored to eliminate dependency issues involving the implementation of deprecated libraries.
awesome-newsletters
A list of amazing Newsletters
ml-nlp-paper-discussions
đź“„ A repo containing notes and discussions for our weekly NLP/ML paper discussions.
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
nlp_paper_summaries
✍️ A carefully curated list of NLP paper summaries
learnopencv
Learn OpenCV : C++ and Python Examples
research_public
Quantitative research and educational materials
Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Grokking-Artificial-Intelligence-Algorithms
The official code repository supporting the book, Grokking Artificial Intelligence Algorithms
Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
awesome-decentralized-finance
A curated list of awesome decentralized finance projects
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
data-science-interviews
Data science interview questions and answers
design-patterns-for-humans
An ultra-simplified explanation to design patterns
spring-boot-tutorial
100+ Spring Boot Articles, Tutorials, Video tutorials, Projects, Guides, Source code examples etc
Machine-Learning-Books
A curated collection of free Machine Learning related eBooks
matplotlib-tutorial
Matplotlib tutorial for beginner
Awesome-Interaction-Aware-Trajectory-Prediction
A selection of state-of-the-art research materials on trajectory prediction
ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
benchmark_results
Visual Tracking Paper List
system_design
Preparation links and resources for system design questions