Simulation Projects
MM1 and MMC Queue Simulation using python - Results and parameters in excel and csv files
integral simulation results for x*x
for xxx + 1
xxx + x*x + 1
monte carlo results
MM1 and MMC Queue Simulation using python - Results and parameters in excel and csv files
Overview
Video Frame Interpolation without Temporal Priors (a general method for blurry video interpolation)
Video Frame Interpolation without Temporal Priors (NeurIPS2020) [Paper] [video] How to run Prerequisites NVIDIA GPU + CUDA 9.0 + CuDNN 7.6.5 Pytorch 1
31 Sep 04, 2022
Multi-task Learning of Order-Consistent Causal Graphs (NeuRIPs 2021)
Multi-task Learning of Order-Consistent Causal Graphs (NeuRIPs 2021) Authors: Xinshi Chen, Haoran Sun, Caleb Ellington, Eric Xing, Le Song Link to pap
2 Dec 20, 2021
6D Grasping Policy for Point Clouds
GA-DDPG [website, paper] Installation git clone https://github.com/liruiw/GA-DDPG.git --recursive Setup: Ubuntu 16.04 or above, CUDA 10.0 or above, py
48 Dec 21, 2022
The Multi-Mission Maximum Likelihood framework (3ML)
PyPi Conda The Multi-Mission Maximum Likelihood framework (3ML) A framework for multi-wavelength/multi-messenger analysis for astronomy/astrophysics.
62 Dec 30, 2022
This game was designed to encourage young people not to gamble on lotteries, as the probablity of correctly guessing the number is infinitesimal!
Lottery Simulator 2022 for Web Launch Application Developed by John Seong in Ontario. This game was designed to encourage young people not to gamble o
2 Sep 02, 2022
Pixel-level Crack Detection From Images Of Levee Systems : A Comparative Study
PIXEL-LEVEL CRACK DETECTION FROM IMAGES OF LEVEE SYSTEMS : A COMPARATIVE STUDY G
2 Jul 23, 2022
An official source code for "Augmentation-Free Self-Supervised Learning on Graphs"
Augmentation-Free Self-Supervised Learning on Graphs An official source code for Augmentation-Free Self-Supervised Learning on Graphs paper, accepted
59 Dec 01, 2022
Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"
Trajectory Transformer Code release for Offline Reinforcement Learning as One Big Sequence Modeling Problem. Installation All python dependencies are
266 Dec 27, 2022
Learning embeddings for classification, retrieval and ranking.
StarSpace StarSpace is a general-purpose neural model for efficient learning of entity embeddings for solving a wide variety of problems: Learning wor
3.8k Dec 22, 2022
Hierarchical Time Series Forecasting with a familiar API
scikit-hts Hierarchical Time Series with a familiar API. This is the result from not having found any good implementations of HTS on-line, and my work
204 Dec 17, 2022
Elastic weight consolidation technique for incremental learning.
Overcoming-Catastrophic-forgetting-in-Neural-Networks Elastic weight consolidation technique for incremental learning. About Use this API if you dont
89 Dec 22, 2022
A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling" (ICCV 2021)
Manifold Matching via Deep Metric Learning for Generative Modeling A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generat
69 Dec 10, 2022
Cross-media Structured Common Space for Multimedia Event Extraction (ACL2020)
Cross-media Structured Common Space for Multimedia Event Extraction Table of Contents Overview Requirements Data Quickstart Citation Overview The code
49 Nov 21, 2022
Code of TIP2021 Paper《SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition》. We provide both MxNet and Pytorch versions.
SFace Code of TIP2021 Paper 《SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition》. We provide both MxNet, PyTorch and Jittor versi
47 Nov 25, 2022
Based on the given clinical dataset, Predict whether the patient having Heart Disease or Not having Heart Disease
Heart_Disease_Classification Based on the given clinical dataset, Predict whether the patient having Heart Disease or Not having Heart Disease Dataset
1 Jan 30, 2022
ONNX-PackNet-SfM: Python scripts for performing monocular depth estimation using the PackNet-SfM model in ONNX
Python scripts for performing monocular depth estimation using the PackNet-SfM model in ONNX
14 Dec 09, 2022
Checkout some cool self-projects you can try your hands on to curb your boredom this December!
SoC-Winter Checkout some cool self-projects you can try your hands on to curb your boredom this December! These are short projects that you can do you
29 Nov 08, 2022
CoSMA: Convolutional Semi-Regular Mesh Autoencoder. From Paper "Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes"
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes Implementation of CoSMA: Convolutional Semi-Regular Mesh Autoencoder arXiv p
10 Oct 11, 2022
RefineGNN - Iterative refinement graph neural network for antibody sequence-structure co-design (RefineGNN)
Iterative refinement graph neural network for antibody sequence-structure co-des
83 Dec 31, 2022
一个多模态内容理解算法框架，其中包含数据处理、预训练模型、常见模型以及模型加速等模块。
Overview 架构设计 插件介绍 安装使用 框架简介 方便使用，支持多模态，多任务的统一训练框架 能力列表： bert + 分类任务 自定义任务训练（插件注册） 框架设计 框架采用分层的思想组织模型训练流程。 DATA 层负责读取用户数据，根据 field 管理数据。 Parser 层负责转换原
265 Dec 22, 2022