Lists (7)
Stars
A Pilot Digital Twin Project for BELLA HTU
Quant/Algorithm trading resources with an emphasis on Machine Learning
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Accompanying code for "Discovering State-of-the-art Reinforcement Algorithms" Nature publication
Laplacian convolutional representation for traffic time series imputation. (IEEE TKDE'24)
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, cl…
Our library for RL environments + evals
Nonlinear normal form analysis using truncated power series
This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.
Living Review of Machine Learning for Particle Accelerators
Visualizer for neural network, deep learning and machine learning models
Algorithmic trading framework for cryptocurrencies.
High frequency trading (HFT) framework built for futures using machine learning and deep learning techniques
Quantitative Algorithmic Trading Arbitrage Bot for High Frequency Trading (HFT). Martha_Stewart executes trades at the best price by capitalizing on infinitesimal price discrepancies in the stock m…
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
NumPy and SciPy on Multi-Node Multi-GPU systems
hill-a / stable-baselines
Forked from openai/baselinesA fork of OpenAI Baselines, implementations of reinforcement learning algorithms
A list of 99 machine learning projects for anyone interested to learn from coding and building projects
NVIDIA curated collection of educational resources related to general purpose GPU programming.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
The development repository for the deal.II finite element library
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.