Apprentissage automatique · GitHub

Corruption and Perturbation Robustness (ICLR 2019)

A curated list of awesome anomaly detection resources

A pytorch quantization backend for optimum

😎 Trouvez facilement les images en double !

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

DLRover: An Automatic Distributed Deep Learning System

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

Removing people from complex backgrounds in real time using TensorFlow.js in the web browser

Méthodes de ré-identification de pointe et boîte à outils

Java dataframe and visualization library

A faster pytorch implementation of faster r-cnn

Kedro est une boîte à outils pour la data science prête pour la production. Il s’appuie sur les bonnes pratiques du génie logiciel pour vous aider à créer des pipelines de data engineering et de data science reproductibles, maintenables et modulaires.

• Project Template - A standard, modifiable and easy-to-use project template based on Cookiecutter Data Science.
• Data Catalog - A series of lightweight data connectors used to save and load data across many different file formats and file systems, including local and network file systems, cloud object stores, and HDFS. The Data Catalog also includes data and model versioning for file-based systems.

Diagrams for visualizing neural network architecture

Deep Reinforcement Learning for Keras.

Predict Cryptocurrency Price with Deep Learning

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Convert images of LaTex math equations into LaTex code.