-
University of Zurich
- Decentraland
Highlights
- Pro
Lists (1)
Sort Name ascending (A-Z)
Stars
Example application code for the python architecture book
This project aims to provide instructive, high-quality, atomic, Anki flashcards which cover a myriad general knowledge topics.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Clean PyTorch implementations of imitation and reward learning algorithms
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
The official repository for the paper Adversarial Inverse Reinforcement Learning for Market Making (2024) published and presented at the ICAIF'24 conference.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
An opinionated list of Python frameworks, libraries, tools, and resources
Streamlit — A faster way to build and share data apps.
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
technical skills for academic research
Sequence-based Target Coin Prediction for Cryptocurrency Pump-and-Dump (SIGMOD 23)
Solve puzzles. Improve your pytorch.
A deep learning study on pump and dump detection for small-cap crypto coins.
🦄 A simple, modular and minimalistic component library that gives you the building blocks you need to build your portfolio.
FinRL®-Meta: Dynamic datasets and market environments for FinRL.
FinRL®: Financial Reinforcement Learning. 🔥
📕 Clarity in the current fast-paced mess of Open Source innovation
Get up to speed on Maximum Extractable Value
An aggregate of MEV resources, libraries, research papers, and strategies.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.