wongfay0207's repositories
Cirq
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
Algorithmic_Portfolio_Hedging
Algorithmic multi-greek hedges using Python
anaconda-project
Tool for encapsulating, running, and reproducing data science projects
bert
TensorFlow code and pre-trained models for BERT
blockhack2021-nftgift
Hackathon submission for blockhack 2021
deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
gcp-variant-transforms
GCP Variant Transforms
gensim
Topic Modelling for Humans
github-basics
Training grounds to get you familiar with Github.
IBMQuantumChallenge2020
Quantum Challenge problem sets
IBMQuantumChallenge2020-Grader
Grading client for the IBM Quantum Challenge 2020
incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
jbrowse-components
Monorepo with JBrowse 2 web, JBrowse 2 desktop, and more.
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
NFT-Tutorial
Deploy an NFT project on Ethereum
nltk
NLTK Source
private-data-generation
A toolbox for differentially private data generation
qchack
For submitting projects
qchack-2021-challenge
The <G|oogl|e> challenge for Quantum Coalition Hackathon 2021
qchack-microsoft-challenge
Microsoft's challenge for QCHack 2021
qiskit-application-modules-demo-sessions
Demo notebooks for Qiskit application modules demo sessions (Oct 8 & 15):
qiskit-textbook
A university quantum algorithms/computation course supplement based on Qiskit
QuantLib
The QuantLib C++ library
quantum-1
Hybrid Quantum-Classical Machine Learning in TensorFlow
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
YourPathToDeepLearning
Sequel to our infamous Your Path to AI Series. We are introducing this new advanced level series for audience interested to specialise in Deep Learning. This repository holds all the resources for the series for you to catch up in case you have missed it.
YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras
Build a recurrent neural network using TensorFlow and Keras.