neuropod
Model runtime
A unified interface to run deep learning models from multiple frameworks using C++ and Python.
A uniform interface to run deep learning models from multiple frameworks
936 stars
24 watching
77 forks
Language: C++
last commit: 11 months ago
Linked from 1 awesome list
deep-learningdeeplearningincubationinferencekerasmachine-learningmachinelearningpytorchtensorflow
Related projects:
Repository | Description | Stars |
---|---|---|
uber/petastorm | Enables training and evaluation of deep learning models from Apache Parquet datasets in various machine learning frameworks | 1,802 |
tensorflow/tfjs | An open-source JavaScript library for training and deploying machine learning models using WebGL acceleration. | 18,513 |
leopiney/tensor-safe | A Haskell framework for defining and compiling valid deep learning models to external frameworks like TensorFlow JS or Keras. | 101 |
media-smart/volksdep | A toolbox for deploying and accelerating machine learning models on various hardware platforms using TensorRT | 286 |
google-research/tf-slim | A lightweight library for defining and training neural networks in TensorFlow. | 373 |
uber-research/learning-to-reweight-examples | Project implementing a method to improve deep learning model robustness by re-weighting examples with noisy labels | 269 |
uber-research/pplm | An implementation of a plug-and-play language model that allows users to steer the topic and attributes of large language models. | 1,132 |
yandex/faster-rnnlm | A toolkit for training efficient neural network language models on large datasets with hierarchical softmax and noise contrastive estimation. | 560 |
naibaf7/caffe_neural_tool | A C++ interface to the caffe deep learning framework, providing a convenient entry point for developers to build and deploy neural networks. | 15 |
eduardoleao052/js-pytorch | A JavaScript library that provides GPU-accelerated deep learning capabilities with automatic differentiation and neural network layers. | 1,091 |
maxpumperla/elephas | Enables distributed deep learning with Keras and Spark for scalable model training | 1,574 |
keplr-io/hera | Enables real-time training and evaluation of machine learning models with remote dashboard visualization. | 487 |
neuraxio/neuraxle | A machine learning pipeline library that enables the creation of modular and reusable data processing workflows | 608 |
molcik/python-neuron | A Python library for implementing and training various neural network architectures | 40 |
szagoruyko/functional-zoo | Repository providing pre-trained models and model definitions for PyTorch and TensorFlow using a functional programming style | 586 |