The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.

AIStore: scalable storage for AI applications

Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch

Repository of Transformer based PyTorch Time Series Models

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

Dataset and modelling infrastructure for modelling "event streams": sequences of continuous time, multivariate events with complex internal dependencies.

Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage

PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure

An Open-Source Library for the interpretability of time series classifiers

A simple macOS application that will prevent iTunes or Apple Music from launching.

Novelty MiniGrid--NovGrid--is an extension of MiniGrid environment that allows for the world properties and dynamics to change according to a generalized novelty generator.

Isaac Gym Reinforcement Learning Environments

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

Repository to accompany RSS 2018 paper on dexterous hand manipulation

Python logging made (stupidly) simple

A Python sandbox for decision making in dynamics

PyTorch implementation of soft actor critic

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

Clockwork Variational Autoencoder

[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

On the model-based stochastic value gradient for continuous reinforcement learning

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Distributional Soft Actor Critic

PyTorch implementation of FQF, IQN and QR-DQN.

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

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