Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
-
Updated
Jul 3, 2024 - Python
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
auto_labeler - An all-in-one library to automatically label vision data
Manipulate tensors with PackedSequence and CattedSequence
A curated list of awesome Machine Learning frameworks, libraries and software.
An Educational Framework Based on PyTorch for Deep Learning Education and Exploration
Library for auto differentiation based purely on NumPy
A deep learning library created from scratch
A light weight deep learning framework, on top of Theano, offering better balance between flexibility and abstraction
A lightweight deep learning library
Some data preprocessing scripts to generate label mask from Labelbox and ImageJ annotations to use them to train semantic segmentation deep learning models
A simple NumPy-based deep learning framework. Create and train neural networks easily, experiment with backpropagation, optimization, and explore the code to grasp the inner workings.
A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
SemiFlow is a deep learning framework with automatic differentiation and automatic shape inference, developing from Numpy. 一个基于Numpy支持自动求导的深度学习框架
以jax为后端的类似keras的框架
A lightweight and uncomplete deep learning library called MicroNN for my own learning purpose
Python module to download and extract Zalando's Fashion-MNIST database for training and testing deep learning neural networks in computer vision.
Python module to download and extract the MNIST database for training and testing deep learning neural networks in computer vision.
TorchHandle makes your PyTorch development more efficient and make you use PyTorch more comfortable
Tiny and elegant deep learning library
This is the implementation repository of our ICSE'22 paper: Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing.
Add a description, image, and links to the deep-learning-library topic page so that developers can more easily learn about it.
To associate your repository with the deep-learning-library topic, visit your repo's landing page and select "manage topics."