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Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
🏅 Collection of Kaggle Solutions and Ideas 🏅
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
FinRL®: Financial Reinforcement 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.
Yet another PyTorch Trainer and some core components for deep learning.
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
PyTorch implementation of some attentions for Deep Learning Researchers.
📘 dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.
Data validation using Python type hints
Time series forecasting with PyTorch
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.
(WIP) TorchUtils is a pytorch library with several useful tools and training tricks.
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.
Numpy group_by and set-operations
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Hydra is a framework for elegantly configuring complex applications
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
Performance analysis of predictive (alpha) stock factors
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
Quantitative finance research tools in Python
A Python package for time series classification
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A library to inspect and extract intermediate layers of PyTorch models.
TensorFlow-based neural network library