Sizwe Mamba's repositories
sequence-variational-autoencoder
An implementation of a sequence based variational autoencoder. Implementation based on https://arxiv.org/abs/1511.06349
bomberman
An OpenGL C++ implementation of classic bomberman game.
bootstrap-waitingfor
"Waiting for..." modal dialog with progress bar for Bootstrap
creditcard-fraud-detection
Given a list of credit card transactions can you classify whether the transaction is fraudulent? This is a machine learning model to perform binary classification on credit card transactions
mat42
A simple library for basic matrix operations (not optimized)
build-your-own-x
🤓 Build your own (insert technology here)
edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
evergreen-unearthed-competition
Unearthed competition for mineral processing
examples
Examples of Vue Material that can be used for testing, prototyping or reproduction purposes.
Falco
A functional-first toolkit for building brilliant ASP.NET Core applications using F#.
FDF
projecting 3D from 2D using isometric projection
ibadatfile
Pythonic wrapper for IBA dat file DLL
latent-gan
Inferring latent space using neural network based variational inference inspired from https://arxiv.org/abs/1312.6114
loguru
Python logging made (stupidly) simple
matplotlib
matplotlib: plotting with Python
mlflow
Open source platform for the machine learning lifecycle
normalizing-flows
Understanding normalizing flows
numerai-models
Statistical and machine learning models for numerai. check out http://numer.ai for more information
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
probability
Probabilistic reasoning and statistical analysis in TensorFlow
python-twitter
A Python wrapper around the Twitter API.
what-happens-when-k8s
🤔 What happens when I type kubectl run?
xpandas
XPandas is a distributed, parallel implementation of the pandas library.