This repository contains PyTorch evaluation code, training code and pretrained models for PVT (Pyramid Vision Transformer).
MOCA (Modular Object-Centric Approach) is a modular architecture that decouples a task into visual perception and action policy.
The GreenGuard project is a collection of end-to-end solutions for machine learning problems commonly found in monitoring wind energy production systems.
Optimization framework developed in Pytorch, allowing calibration, and joint optimization of optics and deep learning models.
We present Sandwich Batch Normalization (SaBN), an extremely easy improvement of Batch Normalization (BN) with only a few lines of code changes.
Keepsake is a Python library that uploads files and metadata (like hyperparameters) to Amazon S3 or Google Cloud Storage.
Code for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.
AllenAct is a modular and flexible learning framework designed with a focus on the unique requirements of Embodied-AI research.
Official PyTorch implementation of "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks"
Implementation for EMNLP-2020 paper: Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product.
Open source code for EMNLP 2020 Findings Paper "AGIF: An Adaptive Graph-Interactive Framework for Joint MultipleIntent Detection and Slot Filling"
This repository provides code and data to train and evaluate a weakly supervised method for rigid 3D scene flow estimation.