Sreeprasad's repositories
Suduku-Solver
algorithms
architect-awesome
后端架构师技术图谱
awesome-chaos-engineering
A curated list of awesome Chaos Engineering resources.
awesome-courses
:books: List of awesome university courses for learning Computer Science!
awesome-java
A curated list of awesome frameworks, libraries and software for the Java programming language.
awesome-leading-and-managing
Awesome List of resources on leading people and being a manager. Geared toward tech, but potentially useful to anyone.
Begin-Latex-in-minutes
📜 Brief Intro to LaTeX for beginners that helps you use LaTeX with ease. Comments and Contributions are welcomed :thumbsup:
CompetitiveProgramming
Page of the course "Competitive Programming and Contests" at Department of Computer Science, University of Pisa
COMS4995-s18
COMS W4995 Applied Machine Learning - Spring 18
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
documents-and-resources
Documentation and Resources
hacker-laws
💻📖 Laws, Theories, Principles and Patterns that developers will find useful. #hackerlaws
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
interviews
Everything you need to know to get the job.
jupyter-tips-and-tricks
Using Project Jupyter for data science.
JustSomeSitesToRead
Just some web pages to read
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
project-based-learning
Curated list of project-based tutorials
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
sp_reading_list
SP's reading list
system-design
Preparing for system design interview questions
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition