ashish-ratn Goto Github PK
Name: Ashish Ratnawat
Type: User
Bio: a curious guy. Want to explore machine learning and algorithms field.
Location: indore,india
Name: Ashish Ratnawat
Type: User
Bio: a curious guy. Want to explore machine learning and algorithms field.
Location: indore,india
Startups about artificial intelligence. (DM, ML, NLP, CV...)
Repository for cool algorithms and Datastructures
C++ Implementation of Algorithms (aka. Spaghetti Source)
Algorithms & Data structures in C++.
Includes C Programming Code For Awesome algorithms and data structures
:memo: An awesome Data Science repository to learn and apply for real world problems.
The most cited deep learning papers
In order to create a chatbot, or really do any machine learning task, of course, the first job you have is to acquire training data, then you need to structure and prepare it to be formatted in a "input" and "output" manner that a machine learning algorithm can digest. Arguably, this is where all the real work is when doing just about any machine learning. The building of a model and training/testing steps are the easy parts!
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Deep Convolutional Neural Networks with LSTMs and Gated Recurrent Units
A TensorFlow implementation of Baidu's DeepSpeech architecture
Foundations of Machine Learning
The https://freeCodeCamp.org open source codebase and curriculum. Learn to code for free together with millions of people.
Add any Program in any language you like or add a hello world Program ❣️ if you like give us :star:
Keras Implementation of Painting outside the box
Oxford Deep NLP 2017 course
This is a lstm model for time series data and predicting time series values like stock prices and others.
Magenta: Music and Art Generation with Machine Intelligence
Generating Music Using Machine Learning and Tensorflow
Fun with Mathematics
playing around with mnist data set with deeo neural networks
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
intuitions towards the behaviour of different algorithms for optimizing gradient descent
Includes Linear regression, K-nearest neighbors, SVM with Scikit learn.
A very simple generative adversarial network (GAN) in PyTorch
An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.
A neural network that transforms a screenshot into a static website
opencv for face detection, segmentation, recognition, lane findings,
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.