Pinned Repositories
0ctopussy
VmWare Vix Api based fuzzer distribution program.
bizhawk
Automatically exported from code.google.com/p/bizhawk
MARI-O-NEAT
SmartCow-v1
SmartCow Official website, developed by Kyle, Ravi and Annabelle :warning::cow:
raaka1's Repositories
raaka1/0ctopussy
VmWare Vix Api based fuzzer distribution program.
raaka1/bizhawk
Automatically exported from code.google.com/p/bizhawk
raaka1/3030
Don't touch the walls! (Thanks, Chrome dev team!)
raaka1/baudrate
raaka1/Beek
raaka1/clarifai-car-trainer
Basic example using Clarifai custom training.
raaka1/Cleaning-Lady
Miaubiz Presents
raaka1/file-icons
Atom File-icons
raaka1/fuzzer-windows
raaka1/honggfuzz
A general-purpose, easy-to-use fuzzer with interesting analysis options. Supports feedback-driven fuzzing based on code coverage
raaka1/idaref
IDA Pro Instruction Reference Plugin
raaka1/jetson-screencasts-sources
Code for accompanying our OpenCV video tutorial series.
raaka1/language-cpp14
raaka1/learningSimpleAlgorithms
We present an approach for learning simple algorithms such as copying, multi-digit addition and single digit multiplication directly from examples. Our framework consists of a set of interfaces, accessed by a controller. Typical interfaces are 1-D tapes or 2-D grids that hold the input and output data. For the controller, we explore a range of neural network-based models which vary in their ability to abstract the underlying algorithm from training instances and generalize to test examples with many thousands of digits. The controller is trained using Q-learning with several enhancements and we show that the bottleneck is in the capabilities of the controller rather than in the search incurred by Q-learning.
raaka1/matrixMultiplyGpu
raaka1/MBE
Course materials for Modern Binary Exploitation by RPISEC
raaka1/MemNN
Memory Networks implementations
raaka1/OpenCV_3_License_Plate_Recognition_Cpp
raaka1/os-vagrant
raaka1/peinjector
raaka1/Phone_Story
Clientwork
raaka1/shellconv
Small tool for disassembling shellcode (using objdump)
raaka1/Stack-RNN
This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.
raaka1/stanford-cs193g-sp2010
Automatically exported from code.google.com/p/stanford-cs193g-sp2010
raaka1/thc-ipv6
IPv6 attack toolkit
raaka1/umaru
An OCR-system based on torch using the technique of LSTM/GRU-RNN, CTC and referred to the works of rnnlib and clstm.
raaka1/VolDiff
VolDiff: Malware Memory Footprint Analysis based on Volatility
raaka1/weeman
HTTP Server for phishing in Python
raaka1/winappdbg
WinAppDbg Debugger
raaka1/Wireshark
Wireshark plugins in LUA