Anindya Ghosal's repositories

mAP

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

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a-PyTorch-Tutorial-to-Object-Detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

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aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

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awesome-cbir-papers

đź“ťAwesome and classical image retrieval papers

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Bounding_Box_Regression_TF

Explore Bounding Box Regression in Object Detection with TensorFlow.

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Car-resale-price-Prediction

I have build Random forest Regressor model on Vehicle dataset from cardekho to predict the value of cars

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cnnimageretrieval-pytorch

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

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CNTK

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

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CSP

High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019

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CSP-Pedestrian-detection

A faster pytorch implementation of 'Center and Scale Prediction (CSP) for pedestrain detection (CVPR19)'.

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Deep-Tutorials-for-PyTorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

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Dissertation-MTech

I am a MTech Student from NSUT Delhi. This is my github repo for all the work that I will be doing as a part of my MTech Dissertation

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draw-YOLO-box

Draw bounding boxes on raw images based on YOLO format annotation. Help to check the correctness of annotation and extract the images with wrong boxes.

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hands-on-ml-dl

Just hands on practice of whatever I come across on the internet regarding ML and AI

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keras-resnet

Residual networks implementation using Keras-1.0 functional API

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Metrics

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

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models

Models and examples built with TensorFlow

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object-localization

Object localization in images using simple CNNs and Keras

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playground

Play with neural networks!

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review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

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RTSP-Camera-Object-Detection-Api

An API for IP camera video streaming and object detection with DETR or Faster-RCNN

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SKU110K-evaluation

evaluation code for SKU110K dataset

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TimeSeries-based-stock-prediction

SARIMA based model to predict price of stock

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Web-Development

My learning projects and practice on Web Development

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Yolo2Pascal-annotation-conversion

Convert Yolo Darket to Pascal VOC annotation format and vice versa.

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YOLO_Explained

If you want to understand how YOLO works, check out this step-by-step walkthrough of YOLO2 in TF2!

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