TensorFlow Tutorial for Time Series Prediction

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

Some notebooks

A Python package to effortlessly assemble images in comparison figures. Supports LaTeX, PPTX, and HTML.

Implementation of "FastSpeech: Fast, Robust and Controllable Text to Speech"

I will update this repository to learn Machine learning with python with statistics content and materials

Multilingual word vectors in 78 languages

We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time period, in order to make predictions in stock trends. We built a model that will be able to buy and sell stock based on profitable prediction, without any human interactions. The model uses Natural Language Processing (NLP) to make smart “decisions” based on current affairs, article, etc. With NLP and the basic rule of probability, our goal is to increases the accuracy of the stock predictions.

python notebooks accompanying the book Make Your Own GAN

A workshop on data privacy methods for data scientists.

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

searching large heterogenous data dumps with Universal Sentence Encoder

Web scraping to get articles for a given query. It returns an spreadsheet with titles, abstracts, doi and references of the article

A Los Angeles Times analysis of arrests of the homeless by the LAPD

Machine Learning University: Accelerated Computer Vision Class

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Code and data for the paper "A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes"

This a Deep learning AI system which recognize handwritten characters, Here I use chars74k data-set for training the model

Open source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.