NaviganNavigating the GAN Parameter Space for Semantic Image Editing
Stars: ✭ 221 (-2.64%)
MelusineMelusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".
Stars: ✭ 222 (-2.2%)
Gan steerabilityOn the "steerability" of generative adversarial networks
Stars: ✭ 225 (-0.88%)
LfortranOfficial mirror of https://gitlab.com/lfortran/lfortran. Please submit pull requests (PR) there. Any PR sent here will be closed automatically.
Stars: ✭ 220 (-3.08%)
PaperboyA web frontend for scheduling Jupyter notebook reports
Stars: ✭ 221 (-2.64%)
Vqa demoVisual Question Answering Demo on pretrained model
Stars: ✭ 222 (-2.2%)
Tf VqvaeTensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
Stars: ✭ 226 (-0.44%)
Scikit GeometryScientific Python Geometric Algorithms Library
Stars: ✭ 220 (-3.08%)
Covid 19Ciência de Dados aplicada à pandemia do novo coronavírus.
Stars: ✭ 223 (-1.76%)
18s09618.S096 three-week course at MIT
Stars: ✭ 226 (-0.44%)
Ipython NotebooksA collection of IPython notebooks covering various topics.
Stars: ✭ 2,543 (+1020.26%)
Zoom Learn Zoomcomputational zoom from raw sensor data
Stars: ✭ 224 (-1.32%)
Gan TutorialSimple Implementation of many GAN models with PyTorch.
Stars: ✭ 227 (+0%)
Sklearn pycon2014Repository containing files for my PyCon 2014 scikit-learn tutorial.
Stars: ✭ 221 (-2.64%)
TutorialTutorial covering Open Source tools for Source Separation.
Stars: ✭ 223 (-1.76%)
Set transformerPytorch implementation of set transformer
Stars: ✭ 224 (-1.32%)
Interpret TextA library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
Stars: ✭ 220 (-3.08%)
SkyliftWi-Fi Geolocation Spoofing with the ESP8266
Stars: ✭ 223 (-1.76%)
FauxtographTools for using a variational auto-encoder for latent image encoding and generation.
Stars: ✭ 220 (-3.08%)
Lrp toolboxThe LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.
Stars: ✭ 225 (-0.88%)
Video to bvhConvert human motion from video to .bvh
Stars: ✭ 222 (-2.2%)
DatascienceprojectsThe code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.
Stars: ✭ 223 (-1.76%)
Triplet AttentionOfficial PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
Stars: ✭ 222 (-2.2%)
OwnphotosSelf hosted alternative to Google Photos
Stars: ✭ 2,587 (+1039.65%)
Example ScriptsExample Machine Learning Scripts for Numerai's Tournament
Stars: ✭ 223 (-1.76%)
SecSeed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation
Stars: ✭ 221 (-2.64%)
HtmresearchExperimental algorithms. Unsupported.
Stars: ✭ 221 (-2.64%)
Text summarization with tensorflowImplementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.
Stars: ✭ 226 (-0.44%)
MachinelearningwithpythonStarter files for Pluralsight course: Understanding Machine Learning with Python
Stars: ✭ 224 (-1.32%)
Dl For ChatbotDeep Learning / NLP tutorial for Chatbot Developers
Stars: ✭ 221 (-2.64%)
Timeseries fastaifastai V2 implementation of Timeseries classification papers.
Stars: ✭ 221 (-2.64%)
Source separationDeep learning based speech source separation using Pytorch
Stars: ✭ 226 (-0.44%)
Sohu competitionSohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)
Stars: ✭ 224 (-1.32%)
Image classification with 5 methodsCompared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow
Stars: ✭ 227 (+0%)
Theano TutorialA collection of tutorials on neural networks, using Theano
Stars: ✭ 226 (-0.44%)
Poretoolsa toolkit for working with Oxford nanopore data
Stars: ✭ 225 (-0.88%)
DragonnA toolkit to learn how to model and interpret regulatory sequence data using deep learning.
Stars: ✭ 222 (-2.2%)