tarunyadav1997 Goto Github PK
Name: TARUN YADAV
Type: User
Bio: Interest: playing sports and making people laugh lets change the world field of interest : artificial inteligence
Location: delhi ,India
Name: TARUN YADAV
Type: User
Bio: Interest: playing sports and making people laugh lets change the world field of interest : artificial inteligence
Location: delhi ,India
This is the curriculum for the "AI for Business" Course By Siraj Raval on Youtube
Contains source code for all assignments for Coursera course Algorithmic Toolbox in python
This repository will contain my work from the Master Algorithmic Programming Techniques Specialization that was created by UC San Diego and delivered through Coursera.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
UC Berkeley's software and documentation for Breakthrough Listen data
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize the traffic efficiency.
Deep RL Bootcamp solutions
Duke Machine Learning Summer School 2018
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.
An Introduction to Statistical Learning with Applications in PYTHON
Oxford Deep NLP 2017 course
A complete daily plan for studying to become a machine learning engineer.
Implements common machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Machine Learning for SETI
Models and examples built with TensorFlow
All Algorithms implemented in Python
Lectures on scientific computing with python, as IPython notebooks.
Introductory Statistical Inference
A WebGL accelerated, browser based JavaScript library for training and deploying ML models.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.