Stars
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
FinRL®: Financial Reinforcement Learning. 🔥
Automatic extraction of relevant features from time series:
Notebooks using the Hugging Face libraries 🤗
Bayesian optimization in PyTorch
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Current and Historical Lists of S&P 500 components since 1996
potato: portable text annotation tool
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
Multivariate Singular Spectrum Analysis (mSSA): Forecasting and Imputation algorithm for multivariate time series
The Differentiable Cross-Entropy Method
Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.
MultiLabel classification of cow diseases by text and symptoms recognition (NER)
Inverse distance-weighted attention learns prototypes in a single-hidden-layer network trained with vanilla cross-entropy loss.