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Diptanu Sarkar's Projects

doom-bot icon doom-bot

An intelligent agent to play the game Doom in a 3D environment using Deep Convolutional Q Learning.

epi icon epi

Solved questions of the book Elements of Programming Interview.

farm icon farm

:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

fbert icon fbert

BERT model re-trained on MLM HateXplain dataset

germeval-2018-data icon germeval-2018-data

This repository contains all manually labeled data from the GermEval-2018 shared task.

image-classifier icon image-classifier

Built image classification deep learning architectures - AlexNet, VGG16, and ResNet using transfer learning and fine-tuning in PyTorch. Final model accuracies achieved are AlexNet-81.2%, VGGNet-85.6%, ResNet-84.7% on 10K test images.

imdb-data-mining icon imdb-data-mining

Schema to store the IMDB data efficiently using PostgreSQL and MongoDB. Perform data cleaning and integration, functional dependency mining, k-means clustering and itemset mining on the dataset.

kibana icon kibana

Your window into the Elastic Stack

language-identification icon language-identification

Detect the text language automatically using a bigram model, Support Vector Machines, and Artifical Neural Networks. The model is trained using the WiLI-2018 benchmark dataset, and the highest accuracy achieved on the test dataset is 99.7% with paragraph text.

lyrics-emotion-detection icon lyrics-emotion-detection

Single-label and multi-label classifiers to detect emotions in lyrics achieved 0.65 and 0.82 F1 scores respectively.

mad icon mad

MAD: A Multi-task Aggression Detection Framework

network-programming icon network-programming

Network programming in JAVA for one-way and two-way communication between server and client.

system-design-primer icon system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

transformers icon transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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