Implementation of Convolutional LSTM in PyTorch.

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

DAGs with NO TEARS: Continuous Optimization for Structure Learning

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

An elegant PyTorch deep reinforcement learning library.

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

CTF challenge (mostly pwn) files, scripts etc

Portfolio analytics for quants, written in Python

Markov Decision Processes, Dynamic Programming and Reinforcement Learning

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

FinRL: Financial Reinforcement Learning. 🔥

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

BTP repository for Algo trading using RL

CS5617 Software Engineering Group Project

A toolkit for developing and comparing reinforcement learning algorithms.

Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks".

Graph Visualisation tool written in TS with Svelte.

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.