Tanmay Pandey (tanmaypandey7)

tanmaypandey7

Geek Repo

Company:@VoerEirAB

Location:India

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Tanmay Pandey's repositories

wheat-detection

Detecting wheat heads using YOLOv5

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Lane-Detection-In-GTA-San-Andreas

Leveraging OpenCV to detect lanes in Grand Theft Auto San Andreas.

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ml-coursera-python-assignments-master

Worked on Coursera's ML course in Python

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License-Plate-Detection-MRCNN

Using M RCNN to detect Indian license plates

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essay-grading

Using LSTMs to automatically grade essays.

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Question-Generation-OpenNMT

Generate questions given raw text.

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backendApi

Using Go to perform CRUD operations

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home

The personal website/portfolio of Tanmay Pandey. Built using React and Bootstrap.

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bert

TensorFlow code and pre-trained models for BERT

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blog

Public repo for HF blog posts

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containerd

An open and reliable container runtime

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deep_learning_assignment

Using images to generate captions.

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Digisoft-Assignment

Reading .dicom files using Python and then converting them into .txt

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Emotion-Recognition-With-Tensorflow

Using images from Google to create a emotion recognition program.

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fairseq-gec

Source code for paper: Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

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FastApi-RESTful

Quicker way to develop FastApi

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geo-heatmap

:world_map: Generate an interactive geo heatmap from your Google location data

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ingredients-crop

Selecting ingredients section automatically using Tensorflow Object Detection API

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kube-hunter

Hunt for security weaknesses in Kubernetes clusters

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litmus-ansible

Ansible-based chaos experiments

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openfoodfacts-ai

This is to track all our AI endeavours, and wishlists 🍕 🤖🍼

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PIE

Fast Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models for Local Sequence Transduction": www.aclweb.org/anthology/D19-1435.pdf (EMNLP-IJCNLP 2019)

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Question-Generation

Generating multiple choice questions from text using Machine Learning.

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sentiment-discovery

Unsupervised Language Modeling at scale for robust sentiment classification

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Simple-Face-Recognition-With-Python

Using the face-recognition library in python for face recognition.

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Simple-Flask-Project

Deploying a simple ML model using flask.

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train-food-labels-for-colab

training for colab

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