This repository contain code on Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems.
The main directory include the code, results and the manuscript of the following paper.
[LINK TO BE ADDED].
Please feel free to contact me for further discussion or any problem.
Ozeu Ozeu is the toolkit to autolabal dataset for instance segmentation. You can generate datasets labaled with segmentation mask and bounding box fro
google-drive-to-sqlite Create a SQLite database containing metadata from Google
Surrogate- and Invariance-Boosted Contrastive Learning (SIB-CL) This repository contains all source code used to generate the results in the article "
Multi Task Learning for 3D segmentation Perception stack of an Autonomous Drivin
MobileNetV1-V2，MobileNeXt，GhostNet，AdderNet，ShuffleNetV1-V2，Mobile+ViT etc. ⭐⭐⭐⭐⭐
coco-transform-util A python package to perform same transformation to coco-annotation as performed on the image. Installation Way 1 $ git clone https
Elegy Elegy is a framework-agnostic Trainer interface for the Jax ecosystem. Main Features Easy-to-use: Elegy provides a Keras-like high-level API tha
SemCo The official pytorch implementation of the paper All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training
Multimodal Virtual Point 3D Detection Turning pixels into virtual points for multimodal 3D object detection. Multimodal Virtual Point 3D Detection, Ti
The `rtdl` library + The official implementation of the paper "Revisiting Deep Learning Models for Tabular Data"
SELF-ATTENTIVE VAD: CONTEXT-AWARE DETECTION OF VOICE FROM NOISE (ICASSP 2021) Pytorch implementation of SELF-ATTENTIVE VAD | Paper | Dataset Yong Rae
Using PyTorch Perform intent classification using three different models to see which one is better for this task
tch-rs Rust bindings for the C++ api of PyTorch. The goal of the tch crate is to provide some thin wrappers around the C++ PyTorch api (a.k.a. libtorc
Single-Cell Image Analysis Package Scimap is a scalable toolkit for analyzing spatial molecular data. The underlying framework is generalizable to spa
Generating Symbolic Reasoning Problems with Transformer GANs This is the implementation of the paper Generating Symbolic Reasoning Problems with Trans
candl A tiny, pedagogical implementation of a neural network library with a pytorch-like API. The primary use of this library is for education. Use th
CORE This is the official PyTorch implementation for the paper: Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao. CORE: Simple and Effective Sess
Simple Transformer An implementation of the "Attention is all you need" paper without extra bells and whistles, or difficult syntax. Note: The only ex
DAL This project hosts the official implementation for our AAAI 2021 paper: Dynamic Anchor Learning for Arbitrary-Oriented Object Detection [arxiv] [c
Implicit Feature Refinement for Instance Segmentation This repository is an official implementation of the ACM Multimedia 2021 paper Implicit Feature
28 Mar 28, 2022
140 Dec 04, 2022
3 Jul 23, 2022
2 Sep 22, 2022
568 Jan 04, 2023
1 Jan 14, 2022
435 Dec 30, 2022
42 Nov 14, 2022
204 Jan 08, 2023
510 Dec 30, 2022
97 Dec 23, 2022
1 Feb 14, 2022
2.3k Dec 30, 2022
30 Nov 08, 2022
1 Apr 18, 2022
3 May 23, 2022
26 Dec 19, 2022
29 Jun 16, 2022
215 Nov 28, 2022
17 Dec 28, 2022