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Martin Elingaard's starred repositories

accelerated_features

Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!

Language:Jupyter NotebookApache-2.066100

SUSHI

Official PyTorch implementation of Unifying Short and Long-Term Tracking with Graph Hierarchies (CVPR 2023)

Language:PythonMIT10200

wildlife-datasets

WildlifeDatasets: An open-source toolkit for animal re-identification

Language:Jupyter NotebookMIT4800

skypilot

SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.

Language:PythonApache-2.0604500

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

Language:PythonMIT5100100

ByteTrack

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Language:PythonMIT438000

ComfyUI

The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

Language:PythonGPL-3.03715600

YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

Language:PythonApache-2.0910100

decord

An efficient video loader for deep learning with smart shuffling that's super easy to digest

Language:C++Apache-2.0169000

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

Language:PythonApache-2.0259200

M4-methods

Data, Benchmarks, and methods submitted to the M4 forecasting competition

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hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

Language:PythonBSD-3-Clause296500

aeon

A toolkit for machine learning from time series

Language:PythonBSD-3-Clause83600

pymc

Bayesian Modeling and Probabilistic Programming in Python

Language:PythonNOASSERTION824900

gluonts

Probabilistic time series modeling in Python

Language:PythonApache-2.0438300

pytorch-forecasting

Time series forecasting with PyTorch

Language:PythonMIT369200

darts

A python library for user-friendly forecasting and anomaly detection on time series.

Language:PythonApache-2.0746600

tsflex

Flexible time series feature extraction & processing

Language:PythonMIT37700

tsfel

An intuitive library to extract features from time series.

Language:PythonBSD-3-Clause87300

seglearn

Python module for machine learning time series:

Language:PythonBSD-3-Clause56700

sktime

A unified framework for machine learning with time series

Language:PythonBSD-3-Clause750600

coral-pytorch

CORAL and CORN implementations for ordinal regression with deep neural networks.

Language:PythonMIT21700

PyAV

Pythonic bindings for FFmpeg's libraries.

Language:CythonBSD-3-Clause233400

spacecutter

Ordinal regression models in PyTorch

Language:PythonMIT13000

VideoMAE

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

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mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

Language:PythonApache-2.0398700

UniFormerV2

[ICCV2023] UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer

Language:PythonApache-2.026900

pytorchvideo

A deep learning library for video understanding research.

Language:PythonApache-2.0321000

SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

Language:PythonApache-2.0634600

stumpy

STUMPY is a powerful and scalable Python library for modern time series analysis

Language:PythonNOASSERTION305100