JYOTIRMOY MONDAL's repositories
AI-for-Medicine-Specialization
AI for Medicine Specialization - Coursera offered by deeplearning.ai
AI-for-Trading
Udacity NANODEGREE Program(Partner with World Quant): Projects designed by industry experts, covering topics from asset management to trading signal generation.
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
awesome-deep-learning-papers
The most cited deep learning papers
cloud-builders-community
Community-contributed images for Google Cloud Build
CodeforcesContestBot
The best Codeforces Contest Bot written by rachitiitr
competitive-programming-1
My solutions for problems on several online judges, including UVa, TopCoder, ACM-ICPC, SPOJ, SPOJ Brasil, Timus, URI and even Project Euler
Competitive-Programming-3
This repository includes all my solutions of problems in UVA's Competitive Programming 3 book
CompetitiveProgramming
My random competitive programming solutions (and other stuff)
CourseraDeepLearningNotebooks
Homework assignments of the Coursera Deep Learning Specialisation
Courses-
Quiz & Assignment of Coursera
data-science-1
Data Science : Hands-on with Applied Theory
Data-Structures-and-Algorithms-Specialization
[Coursera] Data Structures and Algorithms Specialization by "University of California San Diego", "National Research University Higher School of Economics"
Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
educative.io_courses
this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack
google-research
Google Research
grokking-system-design
Thanks to lirenTu@scale
lstm_donors_choose
Keras functional api on DonorsChoose dataset.
marketBias
data and source code for "Addressing Marketing Bias in Product Recommendations" WSDM'20
microsoft-teams-class-attender
A bot to attend classes on microsoft teams
MIT-Algorithms-6.006
This repository includes all my code implementations in algorithms and data structures from MIT's introduction to algorithms course on MIT OCW
python-collab-template
🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
system_design
Preparation links and resources for system design questions
testing-ml
🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
youtube-engagement
Code and Data for paper: Beyond Views: Measuring and Predicting Engagement in Online Videos (ICWSM '18)
youtube_tutorials
Collection of scripts corresponding to LucidProgramming YouTube tutorials