snuspl/nimble

Lightweight and Parallel Deep Learning Framework

/ 100

Emerging

Nimble is a deep learning execution engine that significantly speeds up how quickly your AI models can make predictions (inference) and learn from data (training). It takes your existing PyTorch deep learning models and optimizes them to run much faster on GPUs. Data scientists and machine learning engineers will find this useful for accelerating their model development and deployment.

264 stars. No commits in the last 6 months.

Use this if you are a deep learning practitioner working with PyTorch models and need to drastically reduce the time your models take for both training and inference on GPU hardware.

Not ideal if you are not using PyTorch, or if your deep learning tasks do not involve GPU acceleration.

deep-learning-optimization model-training-acceleration inference-speedup gpu-performance machine-learning-engineering

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 10 / 25

Maturity 16 / 25

Community 17 / 25

How are scores calculated?

Stars

264

Forks

Language

C++

License

—

Higher-rated alternatives

Dobiasd/frugally-deep

A lightweight header-only library for using Keras (TensorFlow) models in C++.

flashlight/flashlight

A C++ standalone library for machine learning

NVlabs/tiny-cuda-nn

Lightning fast C++/CUDA neural network framework

KasperskyLab/knp

Kaspersky Neuromorphic Platform

wichtounet/dll

Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

Explore ML Frameworks

All categories Trending ML Framework directory Insights