dasolma Goto Github PK

aca-site

A small tool to build my static academic site

adlstream

Asynchronous dual-pipeline deep learning framework for online data stream mining

asap

autoregressive-models

Tensorflow 2.0 implementation of Deep Autoregressive Models

autostereograms-discoverer

This repository will contain the code for the paper: "Discovering autostereograms with Convolutional Neural Networks"

awesome-image-translation

A collection of awesome resources image-to-image translation.

bcn3d-moveo

Open Source 3D Printed Robotic Arm for educational purposes

blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

calce

锂电池数据集 CALCE

charging-curve-prediction

cog-stable-diffusion

Diffusers Stable Diffusion as a Cog model

crouterocognizer

PID 2013/14

data-challenge-2022

django-rest-framework-docs

Document Web APIs made with Django Rest Framework

hamiltorch

PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

icon-image

Python script to quickly generate a Font Awesome icon imposed on a background for steering AI image generation.

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

imgaug

Image augmentation for machine learning experiments.

kaggle-santa-tsp

Kaggle Santa TSP problem resolution with differents metaheuristics algorithms

keras-rcnn

Keras package for region-based convolutional neural networks

keras-retinanet

Keras implementation of RetinaNet object detection.

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

lime-for-time

Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification

limesegment

Adapting LIME explanations for Time Series Data

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

miscnn

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

modals

MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space

ni-daq-python

Data acquisition using Python and National Instruments (NI) 9215 card. Might work with other cards as well. Right now it samples current and voltage and reads/writes.

nndetection

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

nnunet