Lightweight library to build and train neural networks in Theano
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Updated
Mar 26, 2022 - Python
Lightweight library to build and train neural networks in Theano
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.
A lightweight deep learning library
Tiny and elegant deep learning library
以jax为后端的类似keras的框架
Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.
Recreating PyTorch from scratch, using Numpy. Supports FCN, CNN, RNN layers.
Flow-based data pre-processing for deep learning
This is the implementation repository of our ICSE'22 paper: Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing.
Library for learning and inference with Sum-product Networks
A keras-like API deep learning framework,realized by Numpy only.Support CNN, RNN, LSTM, Dense, etc.
TorchHandle makes your PyTorch development more efficient and make you use PyTorch more comfortable
ToeffiPy is a PyTorch like autograd/deep learning library based only on NumPy.
A tensorflow batteries included kit to write tensorflow networks from scratch or use existing ones.
A light weight deep learning framework, on top of Theano, offering better balance between flexibility and abstraction
auto_labeler - An all-in-one library to automatically label vision data
VQA - Visual Question Answering
Manipulate tensors with PackedSequence and CattedSequence
An Educational Framework Based on PyTorch for Deep Learning Education and Exploration
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