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Google Research

An open-source, low-code machine learning library in Python

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

Scenarios, tutorials and demos for Autonomous Driving

Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

A Collection of GitHub Actions That Facilitate MLOps

Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores

A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series

Joint training of denoising and segmentation.

Implementation of "Temporal Interpolation of Geostationary SatelliteImagery with Optical Flow"