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[VLDB' 25] ChatTS: Understanding, Chat, Reasoning about Time Series with TS-MLLM
Implementations, Pre-training Code and Datasets of Large Time-Series Models
Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024) and subsequent works
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Tensorforce: a TensorFlow library for applied reinforcement learning
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
A unified library for object tracking featuring clean room re-implementations of leading multi-object tracking algorithms
Python package built to ease deep learning on graph, on top of existing DL frameworks.
StellarGraph - Machine Learning on Graphs
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
CUDA-accelerated GIS and spatiotemporal algorithms
A python library for user-friendly forecasting and anomaly detection on time series.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
tsl: a PyTorch library for processing spatiotemporal data.
Natural Gradient Boosting for Probabilistic Prediction
PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)
A unified framework for machine learning with time series