Pinned Repositories
bookmark
simple bookmark managing app written in flask
Cifar-10-data-set-with-train-accuracy-99-and-test-accuracy-93-
This repo is for self learning purpose
conference
Python Local Conference, hosted by Python Delhi User Group (Pydelhi).
eve
Faster-R-CNN-model-deployment-using-flask-on-local-host
In this Repository I have deployed the faster Rcnn model on flask to deploy it on local server and aslo provided the code for how to use AWS sagamaker to deploy your pre train model on aws
Faster-R-CNN-model-dockerization
fossevents.in
Upcoming fossvents.in website
geekbattle
gs
Yolo-V-3-network-from-scratch-in-pytorch
yolo v3 in pytorch ( python version 3 ) for image real time image detection and video detection (video formate .avi supported by opencv )
Kushagra343's Repositories
Kushagra343/Yolo-V-3-network-from-scratch-in-pytorch
yolo v3 in pytorch ( python version 3 ) for image real time image detection and video detection (video formate .avi supported by opencv )
Kushagra343/bookmark
simple bookmark managing app written in flask
Kushagra343/Cifar-10-data-set-with-train-accuracy-99-and-test-accuracy-93-
This repo is for self learning purpose
Kushagra343/conference
Python Local Conference, hosted by Python Delhi User Group (Pydelhi).
Kushagra343/eve
Kushagra343/Faster-R-CNN-model-deployment-using-flask-on-local-host
In this Repository I have deployed the faster Rcnn model on flask to deploy it on local server and aslo provided the code for how to use AWS sagamaker to deploy your pre train model on aws
Kushagra343/Faster-R-CNN-model-dockerization
Kushagra343/fossevents.in
Upcoming fossvents.in website
Kushagra343/geekbattle
Kushagra343/gs
Kushagra343/ISBI-Challenge-Segmentation-of-neuronal-structures-in-EM-stacks
In this challenge, a full stack of EM slices will be used to train machine learning algorithms for the purpose of automatic segmentation of neural structures. The images are representative of actual images in the real-world, containing some noise and small image alignment errors. None of these problems led to any difficulties in the manual labeling of each element in the image stack by an expert human neuroanatomist. The aim of the challenge is to compare and rank the different competing methods based on their pixel and object classification accuracy.
Kushagra343/justdjangoapp
Kushagra343/kushagra-website
Kushagra343/kushagra343.github.io
Kushagra343/pydelhi-infra
Configuration of all the servers and applications hosted under pydelhi.org
Kushagra343/PyTorch-SSD
All code was taken from Max deGroot's & Ellis Brown's ssd.pytorch repository except the object_detection.py file. However, some modifications were done in order to make this project run on Windows 10 and Python 3.6 with PyTorch 0.4.1
Kushagra343/rest
Kushagra343/RSNA-Pneumonia-Detection-Challenge
In this competition, you’re challenged to build an algorithm to detect a visual signal for pneumonia in medical images. Specifically, your algorithm needs to automatically locate lung opacities on chest radiographs.
Kushagra343/shor
Kushagra343/soughted
Kushagra343/takshila
Kushagra343/vjtinujain.github.io