Pinned Repositories
03_BuildingEscape
A simple First Person game to learn level building, lighting, Unreal Editor, C++ game logic, basic Blueprint and more. (ref: BE_URC) http://gdev.tv/urcgithub
04_BattleTank
An open-world head-to-head tank fight with simple AI, terrain, and advanced control system in Unreal 4. (ref: BT_URC) http://gdev.tv/urcgithub
05_TestingGrounds
A Hunger-Games inspired FPS with large outdoor terrains. Advanced AI, basic networking, pickups, skeletal meshes, checkpoints and more. (ref: TG_URC) http://gdev.tv/urcgithub
asm_prog_ex
Exercises for Assembly language course
asm_prog_ex_yasm
Assembly Language Adventures exercises for Yasm on Linux
asm_prog_material
x86 Assembly Adventures code snippets
CEN4020
DataFrame
C++ DataFrame -- R's and Pandas DataFrame in modern C++ using native types, continuous memory storage, and no virtual functions
xtensor_play
Demonstrates the numpy like functionality of xtensor.
revivalfx's Repositories
revivalfx/xtensor_play
Demonstrates the numpy like functionality of xtensor.
revivalfx/03_BuildingEscape
A simple First Person game to learn level building, lighting, Unreal Editor, C++ game logic, basic Blueprint and more. (ref: BE_URC) http://gdev.tv/urcgithub
revivalfx/04_BattleTank
An open-world head-to-head tank fight with simple AI, terrain, and advanced control system in Unreal 4. (ref: BT_URC) http://gdev.tv/urcgithub
revivalfx/05_TestingGrounds
A Hunger-Games inspired FPS with large outdoor terrains. Advanced AI, basic networking, pickups, skeletal meshes, checkpoints and more. (ref: TG_URC) http://gdev.tv/urcgithub
revivalfx/asm_prog_ex
Exercises for Assembly language course
revivalfx/asm_prog_ex_yasm
Assembly Language Adventures exercises for Yasm on Linux
revivalfx/asm_prog_material
x86 Assembly Adventures code snippets
revivalfx/DataFrame
C++ DataFrame -- R's and Pandas DataFrame in modern C++ using native types, continuous memory storage, and no virtual functions
revivalfx/deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
revivalfx/DeepLearningInFinance
revivalfx/EliteQuant_Cpp
C/C++ 11 High frequency quantitative trading platform. It follows modern design patterns such as event-driven, server/client architect, dependency injection and loosely-coupled robust distributed system. It is self-contained and can be used out of box. At the same time, it serves as server side for other EliteQuant projects.
revivalfx/exploit-exercises-ppc
The old exploit-exercises.com's protostar exercises recompiled for ppc
revivalfx/Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
revivalfx/firstdll
revivalfx/forex-prediction
Comparison of few deep learning models on 15m interval USD/EUR time series data
revivalfx/fusion
exploit exercises fusion challenge
revivalfx/KMeans_Ethereum
Clustering OHLC data with sklearn.
revivalfx/linux-exploitation-course
A Course on Intermediate Level Linux Exploitation
revivalfx/linuxroot
Result for the excellent and highly recommended blog series by https://xcellerator.github.io/
revivalfx/mlfinlab
Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning
revivalfx/mlfinlab_exploration
Exploration of AFML through the mlfinlab package
revivalfx/mql4-lib
MQL4 Foundation Library For Professional Developers
revivalfx/ohlc
open-high-low-close types and tools
revivalfx/pwntools-tutorial
Tutorials for getting started with Pwntools
revivalfx/PyDaddy
Python package to discover stochastic differential equations from time series data
revivalfx/RE-for-beginners
"Reverse Engineering for Beginners" free book
revivalfx/research
Answers to the questions at the back of the chapters of Advances in Financial Machine Learning.
revivalfx/tsa-notebooks
Jupyter notebooks on time series econometrics topics.
revivalfx/write-ups-2017
Wiki-like CTF write-ups repository, maintained by the community. 2017
revivalfx/write-ups-2018
Wiki-like CTF write-ups repository, maintained by the community. 2018