Covid 19Ciência de Dados aplicada à pandemia do novo coronavírus.
Triplet AttentionOfficial PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
NaviganNavigating the GAN Parameter Space for Semantic Image Editing
Vqa demoVisual Question Answering Demo on pretrained model
SecSeed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation
MelusineMelusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".
Sklearn pycon2014Repository containing files for my PyCon 2014 scikit-learn tutorial.
PaperboyA web frontend for scheduling Jupyter notebook reports
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.
FauxtographTools for using a variational auto-encoder for latent image encoding and generation.
Spark Fm ParallelsgdImplementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)
Practical 1Oxford Deep NLP 2017 course - Practical 1: word2vec
Stock PredictionStock price prediction with recurrent neural network. The data is from the Chinese stock.
MirrorVisualisation tool for CNNs in pytorch
Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
Hacktoberfest2020A repo for new open source contributors to begin with open source contribution. Contribute and earn awesome swags.
WeightwatcherThe WeightWatcher tool for predicting the accuracy of Deep Neural Networks
Research Paper NotesNotes and Summaries on ML-related Research Papers (with optional implementations)
CardioCardIO is a library for data science research of heart signals
Pixel level land classificationTutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
50 Days Of MlA day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
TcdfTemporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
How To Read PytorchQuick, visual, principled introduction to pytorch code through five colab notebooks.
PaddlehelixBio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Python SonicProgramming Music with Python, Sonic Pi and Supercollider
TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
NotebookerProductionise your Jupyter Notebooks as easily as you wrote them.
TensorfaceThis repo is deprecated, please use Deep Video Analytics which implements face recognition using TensorFlow and Facenet.
HyperspectralDeep Learning for Land-cover Classification in Hyperspectral Images.
Python lectures파이썬Python 강의에 사용되는 소스코드Source Code와 강의 자료들을 모은 repository 입니다.