libffcv/ffcv
FFCV: Fast Forward Computer Vision (and other ML workloads!)
This tool helps machine learning engineers and researchers dramatically speed up the training of computer vision models. It takes your existing image datasets and converts them into an optimized format, then loads this data much faster during model training. The output is a significantly reduced time and cost for training models, especially those involving large image datasets like ImageNet.
2,986 stars. Used by 1 other package. No commits in the last 6 months. Available on PyPI.
Use this if you are training computer vision models and find that data loading is a bottleneck, leading to slow training times and high computational costs.
Not ideal if your machine learning models do not primarily involve image data or if your current training workflow is already very fast and efficient.
Stars
2,986
Forks
183
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 16, 2024
Commits (30d)
0
Reverse dependents
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/libffcv/ffcv"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
fangwei123456/spikingjelly
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
neuromorphs/NIR
Neuromorphic Intermediate Representation reference implementation
BindsNET/bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
norse/norse
Deep learning with spiking neural networks (SNNs) in PyTorch.
jeshraghian/snntorch
Deep and online learning with spiking neural networks in Python