ey3lock3r

Pyomo

Pyomo respository provides a comprehensive library of solved models in Supply chain management

hrr

A python implementation of holographic reduced representations

eattheblocks

Source code for Eat The Blocks, a screencast for Ethereum Dapp Developers

physarum

Physarum polycephalum slime mold simulation

neuraloperator

Learning in infinite dimension with neural operators.

metronomes

demo of synchronization of metronomes sitting on a common free-to-move platform

pyclustering

pyclustering is a Python, C++ data mining library.

hft-avellaneda

High-frequency trading in a limit order book

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pennylane

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

InceptionTime

InceptionTime: Finding AlexNet for Time Series Classification

market-maker-keeper

Maker Keeper Framework: Market maker keepers for OasisDEX, EtherDelta, 0x (RadarRelay, ERCdEX), Paradex, DDEX, IDEX, Bibox, Ethfinex, GoPax, HitBTC, TheOcean, OKEX and Gate.io.

siml

Machine Learning algorithms implemented from scratch

forex-connect

For

Trading212-API

Trading212 API

drn

Distribution regression network

ccxt

A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

fqf-iqn-qrdqn.pytorch

PyTorch implementation of FQF, IQN and QR-DQN.

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

nas-without-training

Code for Neural Architecture Search without Training (ICML 2021)

fast-transformers

Pytorch library for fast transformer implementations

trax

Trax — Deep Learning with Clear Code and Speed

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

symbolic_deep_learning

Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

Algorithms

A collection of algorithms and data structures

MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

dng_dl_speknn

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.