deepaksinghcv Goto Github PK

academic-hugo

academic-kickstart

Easily create a beautiful website using Academic and Hugo

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

caffemodel2pytorch

Convert Caffe models to PyTorch

cifar10-implementation

code for cifar-10 classification in PyTorch

contrast-based-filtering-for-salient-region-detection

This is an attempt to implement the research paper, Saliency Filters: Contrast Based Filtering for Salient Region Detection

custom-scripts

A short collection of useful scripts | programs.

cv-project-2019

Oriented Edge Forests for Boundary Detection

deepakksingh.github.io

my github.io page

deepaksinghcv

deepaksinghcv.github.io

my portfolio

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

eval_of_det_and_seg_tasks

Contains the necessary files of CVIP 2021 paper

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fsod-code

gdm

Growing Dual-Memory Self-Organizing Networks

git_practice

dummy repo to practice git functionalities

hacktoberfest

COEP's Hacktoberfest Repository

hacktoberfest-1

Hacktoberfest Hyderabad Repo

hpc_cluster_monitor

Online dashboard containing live updates of cluster

incremental_detectors

Code release for paper "Incremental Learning of Object Detectors without Catastrophic Forgetting"

ip_responder

Python code which can updates when the host's IP changes

kaggle_projects

Contains files related to kaggle competitions.

keras_and_pytorch_examples

example code equivalents in keras and pytorch

metrics

understanding and code of commonly encountered metrics

mib

Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718

microblog

A microblog using Flask

mmdetection

Open MMLab Detection Toolbox and Benchmark

modelpytorchcode

building a structured pytorch project