sinamalakouti Goto Github PK
Name: sina malakouti
Type: User
Bio: CS @ UPitt
Location: Pittsburgh, PA
Blog: sinamalakouti.github.io
Name: sina malakouti
Type: User
Bio: CS @ UPitt
Location: Pittsburgh, PA
Blog: sinamalakouti.github.io
This repo provides the source code for "Cross-Domain Adaptive Teacher for Object Detection".
How to display a UICollectionView within a UITableViewCell
Classical and Modern searching algorithms
The collection of ARFF datasets of the Connectionist Artificial Intelligence Laboratory (LIAC)
A collection of AWESOME things about domian adaptation
Toolkit of BDD100K Dataset for Heterogeneous Multitask Learning - CVPR 2020 Oral Paper
This is the official implementation of Beyond Joint Demosaicking and Denoising from CVPRW21.
[BMVC2023] This is the official repo for Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment (BMVC2023)
Semi-supervised model for predicting discourse coherence relation between images and captions
Simple image captioning model
A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''
Code and models for ICCV2021 paper "Robust Object Detection via Instance-Level Temporal Cycle Confusion".
Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687
DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework
Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark - From Skymind
A New Symbolic Deep Architecture combining decision trees and neural networks
Conventionally depression detection was done through extensive clinical interviews, wherein the subject’s re- sponses are studied by the psychologist to determine his/her mental state. In our model, we try to imbibe this approach by fusing the 3 modalities i.e. word context, audio, and video and predict an output regarding the mental health of the patient. The output is divided into a binary yes/no denoting whether the patient has symptoms of depression. We’ve built a deep learning model that fuses these 3 modalities, assigning them appropriate weights, and thus gives an output.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Enabling Deep Residual Networks for Weakly Supervised Object Detection
Flickr30K Entities Dataset
Repository for accessing and training using GeoNet dataset, published at CVPR 2023.
Google Research
Grab GPU whenever available
A webApplication for Amkirkabir ICPC website
This is my IE course project at Amirkabir University of Technology under the supervision of Prof. Bakhshi. In this project I have implemented the Reyhoon's website ( an online food ordering organization).
[CVPR 2021] Instance Localization for Self-supervised Detection Pretraining
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.