309 Repositories
Python inference-speed Libraries
Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech (BVAE-TTS)
Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech (BVAE-TTS) Yoonhyung Lee, Joongbo Shin, Kyomin Jung Abstract: Although early
147 Dec 5, 2022
This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.
OpenVINO Inference API This is a repository for an object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operati
68 Nov 24, 2022
Torchserve server using a YoloV5 model running on docker with GPU and static batch inference to perform production ready inference.
Yolov5 running on TorchServe (GPU compatible) ! This is a dockerfile to run TorchServe for Yolo v5 object detection model. (TorchServe (PyTorch librar
82 Nov 29, 2022
Automatically mock your HTTP interactions to simplify and speed up testing
VCR.py 📼 This is a Python version of Ruby's VCR library. Source code https://github.com/kevin1024/vcrpy Documentation https://vcrpy.readthedocs.io/ R
2.3k Jan 1, 2023
Automatically mock your HTTP interactions to simplify and speed up testing
VCR.py 📼 This is a Python version of Ruby's VCR library. Source code https://github.com/kevin1024/vcrpy Documentation https://vcrpy.readthedocs.io/ R
2.3k Jan 1, 2023
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
PyMC3 is a Python package for Bayesian statistical modeling and Probabilistic Machine Learning focusing on advanced Markov chain Monte Carlo (MCMC) an
7.2k Dec 30, 2022
Machine learning, in numpy
numpy-ml Ever wish you had an inefficient but somewhat legible collection of machine learning algorithms implemented exclusively in NumPy? No? Install
11.6k Dec 30, 2022
Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.
pgmpy pgmpy is a python library for working with Probabilistic Graphical Models. Documentation and list of algorithms supported is at our official sit
2.2k Jan 3, 2023
pyhsmm - library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations.
Bayesian inference in HSMMs and HMMs This is a Python library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and expli
527 Dec 4, 2022