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Quantitative Finance Approaches in Finance and the RL-based approaches for automated trading
Data and code files for specific Rasa Masterclass episodes
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Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
LSTM text generation by word. Used to generate multiple sentence suggestions based on the input words or a sentence
finding probability of a sentence using simple bigram model with and without laplace smoothing
Seq2Seq English-French Machine Translation Model
The classical BiLSTM-CRF model implemented in Tensorflow, for sequence labeling tasks. In Vex version, everything is configurable.
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
Java API for Natural Language Generation. Originally developed by Ehud Reiter at the University of Aberdeenโs Department of Computing Science and co-founder of Arria NLG. This git repo is the official SimpleNLG version.
The prep for getting a Tensorflow Developer Certificate
TensorFlow Tutorial and Examples for Beginners with Latest APIs
Deep Learning and Reinforcement Learning Library for Developers and Scientists
Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
A collection of text classification algorithms in tensorflow: cnn, rnn, attention, bert, capsule, clstm, rcnn
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
Predicting survival on the Titanic using Excel, Python & Random Forests
Tutorials and my solutions to the Udacity NLP Nanodegree
Kaggle | Web Traffic Forecasting ๐
Next Word Prediction using n-gram Probabilistic Model with various Smoothing Techniques
Accurately generate all possible forms of an English word e.g "election" --> "elect", "electoral", "electorate" etc.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.