479 Open source projects that are alternatives of or similar to pytod

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Main component extraction for outlier detection

Supplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

DDC-Outlier: Preventing medication errors using unsupervised learning

A scikit-learn compatible library for anomaly detection

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

Latent space autoregression for novelty detection.

(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"

ADRepository: Real-world anomaly detection datasets

A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Anomaly detection related books, papers, videos, and toolboxes

Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supervised anomaly detection, few-shot anomaly detection, image defect detection.

List of tools & datasets for anomaly detection on time-series data.

Code for reproducing f-AnoGAN in Pytorch

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

official implemntation for "Contrastive Learning with Stronger Augmentations"

Deep learning toolkit-enabled VLSI placement

Automatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX

The Kubervisor allow you to control which pods should receive traffic or not based on anomaly detection.It is a new kind of health check system.

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

GPU Framework for Radio Astronomical Image Synthesis

A WebGL accelerated JavaScript library for training and deploying ML models.

Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)

A complete, open-source Excel-like calculation engine written in TypeScript. Includes 380+ built-in functions. Maintained by the Handsontable team⚡

High Performance off-screen rendering (OSR) demo using CEF

A highly efficient and modular implementation of Gaussian Processes in PyTorch

Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)

Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.

Clojure library for CUDA development

Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks to construct an optimized diversified intelligent portfolio.

Vahana VR & VideoStitch Studio: software to create immersive 360° VR video, live and in post-production

A brian2 extension to simulate spiking neural networks on GPUs

Python library for Room Impulse Response (RIR) simulation with GPU acceleration

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering

Fast Neural Machine Translation in C++ - development repository

Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.

QUICK: A GPU-enabled ab intio quantum chemistry software package

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

Unsupervised Learning to Market Behavior Forecasting Example

Python toolbox for transfer learning.

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

A Ground Mobile Robot Perception Dataset, IEEE RA-L & IEEE T-CYB

A tool for manipulating and editing AMD VBIOSes.

Deep.Net machine learning framework for F#

This is the code for the paper nemed 'Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation'

Guided Missile, Radar and Infrared EOS Simulation Framework written in Fortran.

The write-once-run-anywhere GPGPU library for Rust

[MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

Multi-device OpenCL kernel load balancer and pipeliner API for C#. Uses shared-distributed memory model to keep GPUs updated fast while using same kernel on all devices(for simplicity).

Crossbow: A Multi-GPU Deep Learning System for Training with Small Batch Sizes