hungryGeek16
I am someone who wants to unlock the secret of my soul, this world and their inter-connection
Pinned Repositories
CaffeMobileNet-SSDLitedetections
Here I have used MobileNet-SSD, deep learning objection technique, for detecting various objects in the UC-Win/Road virutal reality based enviroment. The results of the standard MobileNet-SSD detector was not good enough. Therefore, Transfer Learning Technique is used for fine tuning of the model. Then the new model is applied for detection of the UC-Win/Road objects.
FaceNet-Caffe
GRU-Differencing-Prediction
house-prices-advanced-regression-techniques
Used linear and ridge regression to predict house sales prices
Mobile-Classifier
A simple classifier which uses MobileNet semantics with transfer learned KNN algorithm.
MobileNet-Caffe
Caffe Implementation of Google's MobileNets (v1 and v2)
mvit_xxs_detector
Object-Detection
pyimagesearch
Repository for PyImageSearch Projects: https://www.pyimagesearch.com/
unet_artifact_removal
A CNN-based model that could remove jpeg artifacts from a given jpeg image.
hungryGeek16's Repositories
hungryGeek16/mvit_xxs_detector
hungryGeek16/CaffeMobileNet-SSDLitedetections
Here I have used MobileNet-SSD, deep learning objection technique, for detecting various objects in the UC-Win/Road virutal reality based enviroment. The results of the standard MobileNet-SSD detector was not good enough. Therefore, Transfer Learning Technique is used for fine tuning of the model. Then the new model is applied for detection of the UC-Win/Road objects.
hungryGeek16/Object-Detection
hungryGeek16/caffe
Caffe: a fast open framework for deep learning.
hungryGeek16/GRU-Differencing-Prediction
hungryGeek16/Mobile-Classifier
A simple classifier which uses MobileNet semantics with transfer learned KNN algorithm.
hungryGeek16/unet_artifact_removal
A CNN-based model that could remove jpeg artifacts from a given jpeg image.
hungryGeek16/ATS_MViT
Adaptive Token Sampling for Efficient Vision Transformers (ECCV 2022 Oral Presentation)
hungryGeek16/DALI_changes
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
hungryGeek16/Data
hungryGeek16/detectron2-ResNeSt
A fork of Detectron2 with ResNeSt backbone
hungryGeek16/DiffusionDetCustom
PyTorch implementation of DiffusionDet for Custom Datasets (https://arxiv.org/abs/2211.09788)
hungryGeek16/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
hungryGeek16/EfficientDet0-Hardhat-Detection
hungryGeek16/esvit
EsViT: Efficient self-supervised Vision Transformers
hungryGeek16/face-mask-detection-tf2
A face mask detection using ssd with simplified Mobilenet and RFB or Pelee in Tensorflow 2.1. Training on your own dataset. Can be converted to kmodel and run on the edge device of k210
hungryGeek16/fairseq-signals
A collection of deep learning models for ECG data processing based on fairseq framework
hungryGeek16/fire_classification
hungryGeek16/FMCG-Fast-Moving-Consumer-Goods-Detection
This repository implements three detection algorithms on the given dataset and compares their performance.
hungryGeek16/Hoard_updated
The Hoard Memory Allocator: A Fast, Scalable, and Memory-efficient Malloc for Linux, Windows, and Mac.
hungryGeek16/hungryGeek16
hungryGeek16/MaskYolo_Caffe
YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN
hungryGeek16/mmdetection
OpenMMLab Detection Toolbox and Benchmark
hungryGeek16/mobilevit-pytorch
A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".
hungryGeek16/mvts_transformer
Multivariate Time Series Transformer, public version
hungryGeek16/Opencv-Watershed
hungryGeek16/RobustCNN_Exps
[ICLR 2023] This repository includes the official implementation our paper "Can CNNs Be More Robust Than Transformers?"
hungryGeek16/SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
hungryGeek16/Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
hungryGeek16/yolact
A simple, fully convolutional model for real-time instance segmentation.