rprashanthatwork
Machine Learning | Deep Learning | 4+ Years of Experience | MSc Data Science @ EPITA
Paris, France
Pinned Repositories
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
Concrete-Crack-Detection
Crack detection for an autonomous UAV
DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
fast-style-transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
Job-Clustering-Based-on-Job-Description
Job Clustering Based on Job Description using NLTK
learning-python-predictive-analytics
Tracking, notes and programming snippets while learning predictive analytics
Regression-Model-by-Ensemble-Stacking-and-Averaging
Regression Model by Ensemble, Stacking, and Averaging
Sentiment-Analysis-with-Convolutional-Networks
Convolutional Neural Network model for Sentiment Analysis of IMDB movie reviews
rprashanthatwork's Repositories
rprashanthatwork/Regression-Model-by-Ensemble-Stacking-and-Averaging
Regression Model by Ensemble, Stacking, and Averaging
rprashanthatwork/Concrete-Crack-Detection
Crack detection for an autonomous UAV
rprashanthatwork/DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
rprashanthatwork/learning-python-predictive-analytics
Tracking, notes and programming snippets while learning predictive analytics
rprashanthatwork/Artificial-Intelligence-with-Python
Code repository for Artificial Intelligence with Python, published by Packt
rprashanthatwork/awesome-deep-vision
A curated list of deep learning resources for computer vision
rprashanthatwork/fast-style-transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
rprashanthatwork/Job-Clustering-Based-on-Job-Description
Job Clustering Based on Job Description using NLTK
rprashanthatwork/Sentiment-Analysis-with-Convolutional-Networks
Convolutional Neural Network model for Sentiment Analysis of IMDB movie reviews
rprashanthatwork/exposure
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)
rprashanthatwork/facenet
Face recognition using Tensorflow
rprashanthatwork/iam-core-ref-prashanth-IMS
IMS Java Final Project
rprashanthatwork/ML_Quick_Revision_Guide
test1
rprashanthatwork/mlcourse.ai
Open Machine Learning Course
rprashanthatwork/mnist_challenge
A challenge to explore adversarial robustness of neural networks on MNIST.
rprashanthatwork/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 ;)
rprashanthatwork/pva-faster-rcnn
Demo code for PVANet
rprashanthatwork/pyconhk2015-adaptive-learning
Materials for the talk on adaptive learning at PyCon HK 2015
rprashanthatwork/pyod
A Python Toolkit for Scalable Outlier Detection (Anomaly Detection)
rprashanthatwork/Resume-Parser
Analyze, score and rank a collection of PDF resumes using machine learning
rprashanthatwork/SPAM-HAM-Classification---End-to-End---Natural-Language-Processing-NLP-
End to End guide to learn everything you need to know in NLP
rprashanthatwork/statistical-analysis-python-tutorial
Statistical Data Analysis in Python
rprashanthatwork/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.
rprashanthatwork/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
rprashanthatwork/vaex
Lazy Out-of-Core DataFrames for Python, visualize and explore big tabular data at a billion rows per second.