Suman Kumar's Projects
Answers to 120 commonly asked data science interview questions.
Resource base for all my Algorithmic Ventures
Created with StackBlitz ⚡️
[Course] API design in Node with Express v3
Analytics Vidhya Deep Learning - Learning Path for 2020
A curated list of awesome Deep Learning tutorials, projects and communities.
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
This will have all the solutions to the competitive programming course's problems by Coding ninjas.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Subject :- Formal Language and Automata Theory (CS21004), Probability and Statistics (MA20104), Science of Happiness (HS62002), Software Engineering (CS20006), & Switching Circuit and Logic Design (CS21002). Content :- Notes, Tutorials, Assignments and Lecture Slides.
Solutions to problems sent by dailycodingproblem.com
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack
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.
JavaScript testing (unit tests, integration tests, e2e tests) introduction repo - belongs to this tutorial: https://academind.com/learn/javascript/javascript-testing-introduction
Machine Learning | Data Science
TensorFlow Neural Machine Translation Tutorial
OHM_Lab
Second project in Metis Data Science Bootcamp
Papers with code. Sorted by stars. Updated weekly.
Config files for my GitHub profile.
Personal Portfolio Website
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Tacotron 2 - PyTorch implementation with faster-than-realtime inference