volksdep
by Media-Smart
volksdep is an open-source toolbox for deploying and accelerating PyTorch, ONNX and TensorFlow models with TensorRT.
AI summary
Model accelerator
A toolbox for deploying and accelerating machine learning models on various hardware platforms using TensorRT
- stars
- 286
- forks
- 43
- watching
- 10
Similar projects
Found by comparing what the projects do, not just their names.
combust/mleap1.5K
ML pipeline deployer
Enables deployment of machine learning pipelines from Spark and Scikit-Learn to production
Model runtime
A unified interface to run deep learning models from multiple frameworks using C++ and Python.
tensorflow/tfjs18.5K
ML model library
An open-source JavaScript library for training and deploying machine learning models using WebGL acceleration.
Segmentation toolkit
A PyTorch-based toolbox for building and training semantic segmentation models
Image Segmentation Model
An implementation of a deep learning model for image segmentation using TensorFlow and Keras
uber/petastorm1.8K
Deep learning data loader
Enables training and evaluation of deep learning models from Apache Parquet datasets in various machine learning frameworks
Model compiler
A Haskell framework for defining and compiling valid deep learning models to external frameworks like TensorFlow JS or Keras.
Deep Learning Accelerator
A comprehensive hardware design stack for accelerating deep learning models
ML tutorials
Teaches Machine Learning fundamentals in Python using Scikit-Learn and TensorFlow
ML dev env
An interactive machine learning development environment with support for Scala, JVM, and popular ML libraries.
Inference accelerator
A Python library designed to accelerate model inference with high-throughput and low latency capabilities
Representation learner
Reimplements a popular deep learning model for unsupervised visual representation learning using TensorFlow
Model trainer
Enables distributed deep learning with Keras and Spark for scalable model training
Segment model
An implementation of a CNN model optimized for speed and segment anything functionality using the FastSAM design.
Semantic segmentation model
A TensorFlow-based implementation of a semantic segmentation network for image classification tasks
