JYOTIRMOY MONDAL's starred repositories

langchain

🦜🔗 Build context-aware reasoning applications

Language:PythonLicense:MITStargazers:88091Issues:667Issues:7036

cs-video-courses

List of Computer Science courses with video lectures.

linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2023 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:27226Issues:656Issues:510

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-algorithms

A curated list of awesome places to learn and/or practice algorithms.

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

The-Complete-FAANG-Preparation

This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.

Language:Jupyter NotebookLicense:MITStargazers:10267Issues:165Issues:40

machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

awesome-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

Language:PythonLicense:CC0-1.0Stargazers:4715Issues:217Issues:10

ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Language:Jupyter NotebookLicense:MITStargazers:4223Issues:204Issues:15

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Language:Jupyter NotebookStargazers:3384Issues:73Issues:2

llm-zoomcamp

LLM Zoomcamp - a free online course about building a Q&A system

Language:Jupyter NotebookStargazers:2286Issues:60Issues:2

interviewpen

Code samples for Back to Back SWE lessons (archive).

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

PyTorchStepByStep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

Language:Jupyter NotebookLicense:MITStargazers:765Issues:11Issues:33

450-DSA-Questions

450- DSA Questions 🔥🔥

Language:JavaLicense:MITStargazers:757Issues:11Issues:4

DAT3

General Assembly's Data Science course in Washington, DC

Language:RoffStargazers:658Issues:107Issues:0

algoexpert-data-structures-algorithms

A collection of solutions for all problem statements on the AlgoExpert Coding Interview platform.

Language:PythonLicense:MITStargazers:440Issues:13Issues:6

Resources

A list of resources to get you started in data science.

Data-Science-Hackathon-And-Competition

Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI

Language:Jupyter NotebookStargazers:199Issues:10Issues:0

Distill-BERT-Textgen

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

Language:PythonLicense:MITStargazers:130Issues:11Issues:6

University-of-Minnesota-Recommender-System-Specialization

Repository for the Honor Track of Recommender Systems Specialization from University of Minnesota on Coursera

Language:HTMLStargazers:28Issues:2Issues:0

youtube-engagement

Code and Data for paper: Beyond Views: Measuring and Predicting Engagement in Online Videos (ICWSM '18)

Language:PythonLicense:MITStargazers:22Issues:5Issues:1

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

Language:Jupyter NotebookLicense:MITStargazers:20Issues:1Issues:1

Twitter-Sentiment-Classification

A model based on RoBERTa base to classify the sentiment of a tweet as neutral, positive, or negative.

Language:Jupyter NotebookStargazers:10Issues:3Issues:1

fastai_course

Code implementations for the book Deep Learning for Coders with fastai and PyTorch

Language:Jupyter NotebookLicense:MITStargazers:5Issues:0Issues:0

Competitive-Programming-Resources-1

Competitive Programming & System Design Resources.

License:MITStargazers:1Issues:0Issues:0