LiteHRNet Benchmark
Lite-HRNet: A Lightweight High-Resolution Network
Overview
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces This is a repository for the following pape
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TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations Requirements python 3.6 torch 1.9 numpy 1.19 Quick Start The experimen
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🐦 Quickly annotate data from the comfort of your Jupyter notebook
🐦 pigeon - Quickly annotate data on Jupyter Pigeon is a simple widget that lets you quickly annotate a dataset of unlabeled examples from the comfort
647 Jan 05, 2023
《Dual-Resolution Correspondence Network》(NeurIPS 2020)
Dual-Resolution Correspondence Network Dual-Resolution Correspondence Network, NeurIPS 2020 Dependency All dependencies are included in asset/dualrcne
45 Nov 21, 2022
Honours project, on creating a depth estimation map from two stereo images of featureless regions
image-processing This module generates depth maps for shape-blocked-out images Install If working with anaconda, then from the root directory: conda e
2 Oct 17, 2022
Code for the ICCV'21 paper "Context-aware Scene Graph Generation with Seq2Seq Transformers"
ICCV'21 Context-aware Scene Graph Generation with Seq2Seq Transformers Authors: Yichao Lu*, Himanshu Rai*, Cheng Chang*, Boris Knyazev†, Guangwei Yu,
37 Dec 18, 2022
Pseudo-rng-app - whos needs science to make a random number when you have pseudoscience?
Pseudo-random numbers with pseudoscience rng is so complicated! Why cant we have a horoscopic, vibe-y way of calculating a random number? Why cant rng
1 Dec 27, 2021
The repo of Feedback Networks, CVPR17
Feedback Networks http://feedbacknet.stanford.edu/ Paper: Feedback Networks, CVPR 2017. Amir R. Zamir*,Te-Lin Wu*, Lin Sun, William B. Shen, Bertram E
87 Nov 19, 2022
Breast Cancer Detection 🔬 ITI "AI_Pro" Graduation Project
BreastCancerDetection - This program is designed to predict two severity of abnormalities associated with breast cancer cells: benign and malignant. Mammograms from MIAS is preprocessed and features
6 Nov 29, 2022
Automate issue discovery for your projects against Lightning nightly and releases.
Automated Testing for Lightning EcoSystem Projects Automate issue discovery for your projects against Lightning nightly and releases. You get CPUs, Mu
41 Dec 24, 2022
Prompts - Read a textfile of prompts and import into anki via ankiconnect
prompts read a textfile of prompts and import into anki via ankiconnect Usage In
2 Jul 28, 2022
Code for the paper "Next Generation Reservoir Computing"
Next Generation Reservoir Computing This is the code for the results and figures in our paper "Next Generation Reservoir Computing". They are written
105 Dec 20, 2022
EMNLP 2021 paper Models and Datasets for Cross-Lingual Summarisation.
This repository contains data and code for our EMNLP 2021 paper Models and Datasets for Cross-Lingual Summarisation. Please contact me at
9 Oct 28, 2022
Over-the-Air Ensemble Inference with Model Privacy
Over-the-Air Ensemble Inference with Model Privacy This repository contains simulations for our private ensemble inference method. Installation Instal
1 Jun 29, 2022
Over9000 optimizer
Optimizers and tests Every result is avg of 20 runs. Dataset LR Schedule Imagenette size 128, 5 epoch Imagewoof size 128, 5 epoch Adam - baseline OneC
405 Nov 27, 2022
Development kit for MIT Scene Parsing Benchmark
Development Kit for MIT Scene Parsing Benchmark [NEW!] Our PyTorch implementation is released in the following repository: https://github.com/hangzhao
424 Dec 01, 2022
天勤量化开发包, 期货量化, 实时行情/历史数据/实盘交易
TqSdk 天勤量化交易策略程序开发包 TqSdk 是一个由信易科技发起并贡献主要代码的开源 python 库. 依托快期多年积累成熟的交易及行情服务器体系, TqSdk 支持用户使用极少的代码量构建各种类型的量化交易策略程序, 并提供包含期货、期权、股票的 历史数据-实时数据-开发调试-策略回测-
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TorchPQ is a python library for Approximate Nearest Neighbor Search (ANNS) and Maximum Inner Product Search (MIPS) on GPU using Product Quantization (PQ) algorithm.
Efficient implementations of Product Quantization and its variants using Pytorch and CUDA
146 Dec 28, 2022
Two types of Recommender System : Content-based Recommender System and Colaborating filtering based recommender system
Recommender-Systems Two types of Recommender System : Content-based Recommender System and Colaborating filtering based recommender system So the data
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PyTorch implementation of Spiking Neural Networks trained on surrogate gradient & BPTT using snntorch.
snn-localization repo PyTorch implementation of Spiking Neural Networks trained on surrogate gradient & BPTT using snntorch. Install Dependencies Orig
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