AI-OpenMic
Dataset
The dataset is available for download via the follwing link.
Repository for code and dataset for our EMNLP 2021 paper - “So You Think You’re Funny?”: Rating the Humour Quotient in Standup Comedy.
Repository for code and dataset for our EMNLP 2021 paper - “So You Think You’re Funny?”: Rating the Humour Quotient in Standup Comedy.
Overview
A heterogeneous entity-augmented academic language model based on Open Academic Graph (OAG)
Library | Paper | Slack We released two versions of OAG-BERT in CogDL package. OAG-BERT is a heterogeneous entity-augmented academic language model wh
58 Dec 17, 2022
Codes for the paper Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
Contrast and Mix (CoMix) The repository contains the codes for the paper Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Backgroun
13 Dec 10, 2022
Tutel MoE: An Optimized Mixture-of-Experts Implementation
Project Tutel Tutel MoE: An Optimized Mixture-of-Experts Implementation. Supported Framework: Pytorch Supported GPUs: CUDA(fp32 + fp16), ROCm(fp32) Ho
344 Dec 29, 2022
Person Re-identification
Person Re-identification Final project of Computer Vision Table of content Person Re-identification Table of content Students: Proposed method Dataset
4 Jun 17, 2021
Indices Matter: Learning to Index for Deep Image Matting
IndexNet Matting This repository includes the official implementation of IndexNet Matting for deep image matting, presented in our paper: Indices Matt
357 Nov 26, 2022
AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch
AutoML for Image Semantic Segmentation Currently this repo contains the only working open-source implementation of Auto-Deeplab which, by the way out-
299 Dec 17, 2022
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation.
Pretrain-Recsys This is our Tensorflow implementation for our WSDM 2021 paper: Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen. Pre-Training
30 Nov 14, 2022
End-to-end face detection, cropping, norm estimation, and landmark detection in a single onnx model
onnx-facial-lmk-detector End-to-end face detection, cropping, norm estimation, and landmark detection in a single onnx model, model.onnx. Demo You can
42 Dec 30, 2022
Lorien: A Unified Infrastructure for Efficient Deep Learning Workloads Delivery
Lorien: A Unified Infrastructure for Efficient Deep Learning Workloads Delivery Lorien is an infrastructure to massively explore/benchmark the best sc
45 Dec 12, 2022
Python scripts form performing stereo depth estimation using the HITNET model in ONNX.
ONNX-HITNET-Stereo-Depth-estimation Python scripts form performing stereo depth estimation using the HITNET model in ONNX. Stereo depth estimation on
30 Nov 08, 2022
Scalable implementation of Lee / Mykland (2012) and Ait-Sahalia / Jacod (2012) Jump tests for noisy high frequency data
JumpDetectR Name of QuantLet : JumpDetectR Published in : 'To be published as "Jump dynamics in high frequency crypto markets"' Description : 'Scala
12 Jan 01, 2023
Demonstration of the Model Training as a CI/CD System in Vertex AI
Model Training as a CI/CD System This project demonstrates the machine model training as a CI/CD system in GCP platform. You will see more detailed wo
19 Dec 28, 2022
Semi-supervised semantic segmentation needs strong, varied perturbations
Semi-supervised semantic segmentation using CutMix and Colour Augmentation Implementations of our papers: Semi-supervised semantic segmentation needs
146 Dec 20, 2022
Customer-Transaction-Analysis - This analysis is based on a synthesised transaction dataset containing 3 months worth of transactions for 100 hypothetical customers.
Customer-Transaction-Analysis - This analysis is based on a synthesised transaction dataset containing 3 months worth of transactions for 100 hypothetical customers. It contains purchases, recurring
1 Jan 01, 2022
An open framework for Federated Learning.
Welcome to Intel® Open Federated Learning Federated learning is a distributed machine learning approach that enables organizations to collaborate on m
397 Dec 27, 2022
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
Adjusting for Autocorrelated Errors in Neural Networks for Time Series This repository is the official implementation of the paper "Adjusting for Auto
51 Nov 05, 2022
NCVX (NonConVeX): A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning.
The source code is temporariy removed, as we are solving potential copyright and license issues with GRANSO (http://www.timmitchell.com/software/GRANS
28 Aug 03, 2022
Pytorch library for fast transformer implementations
Transformers are very successful models that achieve state of the art performance in many natural language tasks
1.3k Dec 30, 2022
TimeSHAP explains Recurrent Neural Network predictions.
TimeSHAP TimeSHAP is a model-agnostic, recurrent explainer that builds upon KernelSHAP and extends it to the sequential domain. TimeSHAP computes even
90 Dec 18, 2022
《DeepViT: Towards Deeper Vision Transformer》(2021)
DeepViT This repo is the official implementation of "DeepViT: Towards Deeper Vision Transformer". The repo is based on the timm library (https://githu
109 Dec 02, 2022