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awesome-neural-ode

A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.

conditional-sig-wasserstein-gans

deep-q-learning-trading-strategy

Use Deep Q learning algorithm to do trading. And then use DRL combined with the signature feature set of the p lagged value of spot price to improve the existing algorithm.

esigstoppedbm

flaml

A fast and lightweight AutoML library.

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

free-lie-algebra-py

Calculations in tensor space for Python

geotorch

Constrained optimization toolkit for PyTorch

keras

Deep Learning for humans

ml-surveys

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

models

Models and examples built with TensorFlow

neuralpde.jl

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

neuraxle

A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

odsc2021_deepintomlf_slides

p01_quanttrade_rrl_sfs

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

sepsis_framework

A rewrite, with improvements, of our submission to the PhysioNet 2019 sepsis detection challenge.

sig-wasserstein-gans