Graham Mueller's starred repositories

ghidra

Ghidra is a software reverse engineering (SRE) framework

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bert

TensorFlow code and pre-trained models for BERT

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jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

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dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

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PySyft

Perform data science on data that remains in someone else's server

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graph_nets

Build Graph Nets in Tensorflow

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pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

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paper-tips-and-tricks

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

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keras-vis

Neural network visualization toolkit for keras

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ranking

Learning to Rank in TensorFlow

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spektral

Graph Neural Networks with Keras and Tensorflow 2.

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quiver

Interactive convnet features visualization for Keras

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systemds

An open source ML system for the end-to-end data science lifecycle

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deepscatter

Zoomable, animated scatterplots in the browser that scales over a billion points

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Salamandra

Salamandra is a tool to find spy microphones that use radio freq to transmit. It uses SDR.

meta-dataset

A dataset of datasets for learning to learn from few examples

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matrixprofile-ts

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

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ppgn

Code for paper "Plug and Play Generative Networks"

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attn2d

Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction

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rf-jam-replay

Jam and replay attack on vehicle keyless entry systems.

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pm-prophet

GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3

graph2vec_tf

This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".

tacoma

Temporal networks in Python. Provides fast tools to analyze temporal contact networks and simulate dynamic processes on them using Gillespie's SSA.

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DLV

Safety Verification of Deep Neural Networks

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gr-uaslink

DARPA HackFest

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CertifiedReLURobustness

Efficient Robustness Verification for ReLU networks (this repository is outdated, don't use; checkout our new implementation at https://github.com/Verified-Intelligence/auto_LiRPA instead)

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TrainCaffeCustomDataset

Transfer learning in Caffe: example on how to train CaffeNet on custom dataset

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tdlstm

Tensorflow implementation of Target-dependent LSTM (Tang et al. 2016)

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