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coursera-ml-andrewng

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

cufflinks

Productivity Tools for Plotly + Pandas

dat8

General Assembly's 2015 Data Science course in Washington, DC

data-science-complete-tutorial

For extensive instructor led learning

deepfake-detection

Towards deepfake detection that actually works

deepfakecapsulegan

Using Capsule Networks in GANS to generate very realistic fake images that could perhaps be used for deepfakes

deepfakedetection

deepfakes

Implementation of Deep Fakes algorithm,in tensorflow

deeplearningandpaddletutorial

jupyter

docs-l10n

Community translations of TensorFlow documentation

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

econophysics

elm

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

elm-pytorch

Extreme Learning Machine implemented in Pytorch

elm-tensorflow

Extreme Learning Machine with TensorFlow

empyrical

Common financial risk and performance metrics. Used by zipline and pyfolio.

faceswap_pytorch

Deep fake ready to train on any 2 pair dataset with higher resolution

fake-face-images-detection-tensorflow

Learning to detect fake face images in the wild. We use a deep fully convolutional network based on Siamese network and contrastive loss.

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

financeops

Research in investment finance with Python Notebooks

financial-engineering

understanding concepts of econophysics with stock market data

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.

finmarketpy

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

finmath-lib

Mathematical Finance Library: Algorithms and methodologies related to mathematical finance.

finmind

Open Data, more than 50 financial data. 提供超過 50 個金融資料，每天更新

fokker-planck-based-spike-rate-models

Rate model implementations for (adaptive) integrate-and-fire neurons based on the Fokker-Planck equation: (i) numerical (finite volume) solution of the full FP PDE, (ii) low-dim. ODE via spectral decomposition of the FP operator, (iii) low-dim. ODE via a linear-nonlinear cascade semianalytically fit to the FP model.

fokkerplanck

Numerical integration of Fokker Planck equation

folium_notebooks

Folium maps examples

fplanck

Numerically solve the Fokker-Planck equation in N dimensions

gan

Tooling for GANs in TensorFlow