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RMIT University
- Australia
Stars
Facial Expression Recognition Using Attentional Convolutional Network, Pytorch implementation
Diagrams for visualizing neural network architecture (Created with diagrams.net)
StateAFL: A Greybox Fuzzer for Stateful Network Servers
A resource for learning about Machine learning & Deep Learning
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
A curated list of different AFL forks and AFL inspired fuzzers with detailed equivalent academic papers and AFL-fuzzing tutorials
A set of Networking experiments using Core Network Emulator
ProFuzzBench - A Benchmark for Stateful Protocol Fuzzing
AFLNet: A Greybox Fuzzer for Network Protocols (https://thuanpv.github.io/publications/AFLNet_ICST20.pdf)
American Fuzzy Lop fork server and instrumentation for pure-Python code
OSS-Fuzz - continuous fuzzing for open source software.
Netzob: Protocol Reverse Engineering, Modeling and Fuzzing
A tool that generates tests of OSPF routers based on a model. See https://www.blackhat.com/us-17/briefings.html#automated-detection-of-vulnerabilities-in-black-box-routers-and-other-network-devices.
Python solutions to exercises and tests at http://codility.com/
Solutions for Codility puzzles in Python
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
We are building an open database of COVID-19 cases with chest X-ray or CT images.
A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
📊 A simple command-line utility for querying and monitoring GPU status
experiments with python
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Repository for few-shot learning machine learning projects