JYOTIRMOY MONDAL's repositories

Competitive-Programming-Resources-1

Competitive Programming & System Design Resources.

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Machine-Learning-Assignments

These are the assignments I solved during Learning Machine Learning from AppliedAICourse.com.

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approaching_almost_nlp

Approaching (Almost) Any Natural Language Processing Problem

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aurelienGeron

“Hands-On Machine Learning with Scikit-Learn and TensorFlow” Excerpt From: Aurélien Géron. “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems.” iBooks.

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BERT

BERT projects

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Cloud-AI-Analytics

This Repo contain details related to Data Engineering tech stacks in GCP

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CP-Templates

Here are my template codes for Competitive Programming with optimised implementations of various algorithms. I personally use them every day and have tested almost all of them in multiple competitive programming contests and practice problems

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cpbook-code

CP4 Free Source Code Project (C++17, Java11, Python3 and OCaml)

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Distill-BERT-Textgen

Research code for ACL 2020 paper: "Distilling Knowledge Learned in BERT for Text Generation".

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GCP-Data-Engineering-Demo-Codes

Demo Codes will be shared here

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GCPSketchnote

If you are looking to become a Google Cloud Engineer , then you are at the right place. GCPSketchnote is series where I share Google Cloud concepts in quick and easy to learn format.

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generative-ai

Sample code and notebooks for Generative AI on Google Cloud

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Getting-Started-with-Google-BERT

Getting Started with Google BERT, published by Packt

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Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

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HealifyAI--LLM-based-Healthcare-System

Leverages extensive power of multiple Machine Learning algorithms & LLM to provide in-depth answers to medical queries and predicts condition/diseases based on patient symptoms

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kattis

My journey in rediscovering Competitive Programming with the help of Competitive Programming 4 book by Steven Halim PhD, Felix Halim PhD and Suhendry Effendy Phd.

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langchain

⚡ Building applications with LLMs through composability ⚡

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lectures

Code shown in the lectures

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llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

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Machine-Learning-Engineering-for-Production-MLOps-Specialization

Assignments of "Machine Learning Engineering for Production (MLOps) Specialization" by Coursera (https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops)

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machine_learning_examples

A collection of machine learning examples and tutorials.

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ml-in-production

Machine Learning in Production

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quest_qa_labeling

Google QUEST Q&A Labeling. Improving automated understanding of complex question answer content

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TableNet

Unofficial implementation of "TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images"

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tez

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

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