Prashanth Rajasekaran's repositories
Regression-Model-by-Ensemble-Stacking-and-Averaging
Regression Model by Ensemble, Stacking, and Averaging
Concrete-Crack-Detection
Crack detection for an autonomous UAV
DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
learning-python-predictive-analytics
Tracking, notes and programming snippets while learning predictive analytics
Artificial-Intelligence-with-Python
Code repository for Artificial Intelligence with Python, published by Packt
awesome-deep-vision
A curated list of deep learning resources for computer vision
fast-style-transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
Job-Clustering-Based-on-Job-Description
Job Clustering Based on Job Description using NLTK
Sentiment-Analysis-with-Convolutional-Networks
Convolutional Neural Network model for Sentiment Analysis of IMDB movie reviews
facenet
Face recognition using Tensorflow
iam-core-ref-prashanth-IMS
IMS Java Final Project
mlcourse.ai
Open Machine Learning Course
mnist_challenge
A challenge to explore adversarial robustness of neural networks on MNIST.
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 ;)
pva-faster-rcnn
Demo code for PVANet
pyconhk2015-adaptive-learning
Materials for the talk on adaptive learning at PyCon HK 2015
pyod
A Python Toolkit for Scalable Outlier Detection (Anomaly Detection)
Resume-Parser
Analyze, score and rank a collection of PDF resumes using machine learning
SPAM-HAM-Classification---End-to-End---Natural-Language-Processing-NLP-
End to End guide to learn everything you need to know in NLP
statistical-analysis-python-tutorial
Statistical Data Analysis in Python
stockpredictionai
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-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs