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avellaneda-stoikov

Avellaneda-Stoikov HFT market making algorithm implementation

coorung.github.io

To be or not to be, that is the question

deep-forecast-pytorch

Wind Speed Prediction using LSTMs in PyTorch (https://arxiv.org/pdf/1707.08110.pdf)

deep-trading

Algorithmic trading with deep learning experiments

deepgenmsm

Code for the results of the Paper:

deeprl

Highly modularized implementation of popular deep RL algorithms in PyTorch

detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

examples

TensorFlow examples

exchange_calendars

Calendars for various securities exchanges.

fetal_app_test

ffjord

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

finance-world

Optimization techniques on the financial area for the hedging, investment starategies, and risk measures

financial-models-numerical-methods

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

fnspace

A utility to fetch financial data

imagination-augmented-agents

Building Agents with Imagination: pytorch step-by-step implementation

interaction_network_pytorch

Pytorch Implementation of Interaction Networks for Learning about Objects, Relations and Physics

khaiii

Kakao Hangul Analyzer III

math

The MATH Dataset (NeurIPS 2021)

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.

model-explorer

A modern model graph visualizer and debugger

neuralsde-marketmodel

Python modules and jupyter notebook examples for the paper Arbitrage-free Neural-SDE Market Models.

nflows

Normalizing flows in PyTorch

pgportfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

pyemma_tutorials

How to analyze molecular dynamics data with PyEMMA

pyllama

LLaMA: Open and Efficient Foundation Language Models

pyro

Deep universal probabilistic programming with Python and PyTorch

pysacq

PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-generative-model-collections

Collection of generative models in Pytorch version.