MisterVulcan's Stars
tomgoldstein/loss-landscape
Code for visualizing the loss landscape of neural nets
erpalma/throttled
Workaround for Intel throttling issues in Linux.
neurosynth/neurosynth
Neurosynth core tools
WillKoehrsen/Data-Analysis
Data Science Using Python
BenjiKCF/Neural-Net-with-Financial-Time-Series-Data
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
arviz-devs/arviz
Exploratory analysis of Bayesian models with Python
tensorflow/adanet
Fast and flexible AutoML with learning guarantees.
lebedov/scikit-cuda
Python interface to GPU-powered libraries
dmbee/seglearn
Python module for machine learning time series:
farizrahman4u/seq2seq
Sequence to Sequence Learning with Keras
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
onnx/onnx
Open standard for machine learning interoperability
christophM/interpretable-ml-book
Book about interpretable machine learning
EpistasisLab/scikit-rebate
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
facebookresearch/nevergrad
A Python toolbox for performing gradient-free optimization
DEAP/deap
Distributed Evolutionary Algorithms in Python
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
tensorflow/probability
Probabilistic reasoning and statistical analysis in TensorFlow
janvdvegt/KernelMixtureNetwork
Kernel Mixture Network implementation with some minor tweaks
scikit-optimize/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
scikit-garden/scikit-garden
A garden for scikit-learn compatible trees
blei-lab/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
quantopian/zipline
Zipline, a Pythonic Algorithmic Trading Library
quantopian/pyfolio
Portfolio and risk analytics in Python
TeamHG-Memex/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
scikit-learn-contrib/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
hyperopt/hyperopt-sklearn
Hyper-parameter optimization for sklearn
rsvp/fecon235
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
RJT1990/pyflux
Open source time series library for Python
alkaline-ml/pmdarima
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.