JYOTIRMOY MONDAL's repositories
Competitive-Programming-Resources-1
Competitive Programming & System Design Resources.
Machine-Learning-Assignments
These are the assignments I solved during Learning Machine Learning from AppliedAICourse.com.
approaching_almost_nlp
Approaching (Almost) Any Natural Language Processing Problem
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.
BERT
BERT projects
Cloud-AI-Analytics
This Repo contain details related to Data Engineering tech stacks in GCP
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
cpbook-code
CP4 Free Source Code Project (C++17, Java11, Python3 and OCaml)
Distill-BERT-Textgen
Research code for ACL 2020 paper: "Distilling Knowledge Learned in BERT for Text Generation".
GCP-Data-Engineering-Demo-Codes
Demo Codes will be shared here
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.
generative-ai
Sample code and notebooks for Generative AI on Google Cloud
Getting-Started-with-Google-BERT
Getting Started with Google BERT, published by Packt
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
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
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.
langchain
⚡ Building applications with LLMs through composability ⚡
lectures
Code shown in the lectures
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
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)
machine_learning_examples
A collection of machine learning examples and tutorials.
ml-in-production
Machine Learning in Production
quest_qa_labeling
Google QUEST Q&A Labeling. Improving automated understanding of complex question answer content
TableNet
Unofficial implementation of "TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images"
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.