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A simple program to calculate and visualize the FLOPs and Parameters of Pytorch models, with handy CLI and easy-to-use Python API.
Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning
Automatic architecture search and hyperparameter optimization for PyTorch
An LLM-powered advanced RAG pipeline built from scratch
Scalable and user friendly neural 🧠 forecasting algorithms.
NeuralProphet: A simple forecasting package
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Merlion: A Machine Learning Framework for Time Series Intelligence
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
TCube generates rich and fluent narratives that describes the characteristics, trends, and anomalies of any time-series data (domain-agnostic) using the transfer learning capabilities of PLMs.
A large scale latent variable compartmental model for simulating abundance/population time series of interacting phages and microbes that undergoes lysis in presence of the phages.
This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.
Neural relational inference for interacting systems - pytorch
ClaSPy: A Python package for time series segmentation.
This repository contains the time series segmentation benchmark (TSSB).
🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)
Multi-Joint dynamics with Contact. A general purpose physics simulator.