Open source repository for the code accompanying the paper 'Non-Rigid Neural Radiance Fields Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video'.
Augur is a machine learning system that provides per-layer inference performance and energy cost of running a NN layer on a consumer grade commercial NN accelerator.
EgoCom: A Multi-person Multi-modal Egocentric Communications Dataset
SimulEval: A General Evaluation Toolkit for Simultaneous Translation
PArametrized Recommendation and Ai Model benchmark is a repository for development of numerous uBenchmarks as well as end to end nets for evaluation of training and inference platforms.
This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
PyTorch original implementation of "Unsupervised Question Decomposition for Question Answering"
Code for the paper Hybrid Spectrogram and Waveform Source Separation
Soft Pattern Matching for Interpretable Low-Resource Classification
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use.
The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRNAseq data. However, existing techniques are based on Euclidean geometry which is not an optimal choice for modeling complex cell trajectories with multiple branches. To overcome this fundamental representation issue we propose Poincaré maps, a method harnessing the power of hyperbolic geometry into the realm of single-cell data analysis.
