Lakitha's Projects
Sentiment_Analysis of Australian election
π£ Object detection of abstract shapes with neural networks
This repository provides data and scripts to use Sherlock, a neural-network based model to detect semantic data types. https://sherlock.media.mit.edu
Silero Models: pre-trained speech-to-text, text-to-speech models and benchmarks made embarrassingly simple
Some SQL extraction procedures followed.
A simple and complete implementation of super-resolution paper.
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Technical Analysis Library using Pandas and Numpy
Python wrapper for TA-Lib (http://ta-lib.org/).
π― Curated interview preparation materials for busy engineers
A javascript technical indicators written in typescript with pattern recognition right in the browser
Tensorflow_Keras_deep_learning will used to classify IRIS dataset
Simple tictactoe base code
This repository contain the time series forcasting prediction algorithms
This repository contain time series forecast of APPLE stocks using facebook prophet algorithm.
Extract price and indicator data from TradingView charts to create ML datasets
π€Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
πΈπ¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Supercharged backtesting and technical analysis for quants
Plotly dataset-visualization pairs, feature extraction scripts, and model training code for VizML (CHI 2019)
This codebase demonstrates how to synthesize realistic 3D character animations given an arbitrary speech signal and a static character mesh.