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An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates neural fields, predictive coding, top-down-bottom-up, and attention (consensus between columns)
GLOM - Pytorch (wip) An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates neural fields, predictive coding,
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.
pyradiomics v3.0.1 Build Status Linux macOS Windows Radiomics feature extraction in Python This is an open-source python package for the extraction of
E2VID_ROS - E2VID_ROS: E2VID to a real-time system
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Supplementary materials for ISMIR 2021 LBD paper "Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes"
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A strongly-typed genetic programming framework for Python
monkeys "If an army of monkeys were strumming on typewriters they might write all the books in the British Museum." monkeys is a framework designed to
Evaluating AlexNet features at various depths
Linear Separability Evaluation This repo provides the scripts to test a learned AlexNet's feature representation performance at the five different con
SSD-based Object Detection in PyTorch
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The Generic Manipulation Driver Package - Implements a ROS Interface over the robotics toolbox for Python
Armer Driver Armer aims to provide an interface layer between the hardware drivers of a robotic arm giving the user control in several ways: Joint vel
Dyalog-apl-docset - Dyalog APL Dash Docset Generator
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Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP
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CONditionals for Ordinal Regression and classification in tensorflow
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SMPLpix: Neural Avatars from 3D Human Models
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InsTrim: Lightweight Instrumentation for Coverage-guided Fuzzing
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Sequential Model-based Algorithm Configuration
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Official repository for "On Improving Adversarial Transferability of Vision Transformers" (2021)
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PyTorch Implementation of NCSOFT's FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis
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An Easy-to-use, Modular and Prolongable package of deep-learning based Named Entity Recognition Models.
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MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice
Sampyl May 29, 2018: version 0.3 Sampyl is a package for sampling from probability distributions using MCMC methods. Similar to PyMC3 using theano to
Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness
Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness This repository contains the code used for the exper
Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation(Unfinished)
Keras-FCN Fully convolutional networks and semantic segmentation with Keras. Models Models are found in models.py, and include ResNet and DenseNet bas
