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Name: Prashanth Rajasekaran
Type: User
Bio: Machine Learning | Deep Learning | 4+ Years of Experience | MSc Data Science @ EPITA
Location: Paris, France
Name: Prashanth Rajasekaran
Type: User
Bio: Machine Learning | Deep Learning | 4+ Years of Experience | MSc Data Science @ EPITA
Location: Paris, France
Code repository for Artificial Intelligence with Python, published by Packt
A curated list of deep learning resources for computer vision
Crack detection for an autonomous UAV
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
An "infinite"-resolution and interpretable GAN. It works based on a differentiable photo editing model and reinforcement learning. (ACM Transactions on Graphics, presented at SIGGRAPH 2018)
Face recognition using Tensorflow
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
IMS Java Final Project
Job Clustering Based on Job Description using NLTK
Tracking, notes and programming snippets while learning predictive analytics
test1
Open Machine Learning Course
A challenge to explore adversarial robustness of neural networks on MNIST.
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 ;)
Demo code for PVANet
Materials for the talk on adaptive learning at PyCon HK 2015
A Python Toolkit for Scalable Outlier Detection (Anomaly Detection)
Regression Model by Ensemble, Stacking, and Averaging
Analyze, score and rank a collection of PDF resumes using machine learning
Convolutional Neural Network model for Sentiment Analysis of IMDB movie reviews
End to End guide to learn everything you need to know in NLP
Statistical Data Analysis in Python
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
TensorFlow Tutorial and Examples for Beginners with Latest APIs
Lazy Out-of-Core DataFrames for Python, visualize and explore big tabular data at a billion rows per second.
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.