The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
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Updated
Jun 26, 2023
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
A clear, concise, simple yet powerful and efficient API for deep learning.
A lightweight deep learning library
Infrastructures™ for Machine Learning Training/Inference in Production.
Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.
【HACKATHON 预备营】飞桨启航计划集训营
One-Stop System for Machine Learning.
implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)
benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.
NumPy实现类PyTorch的动态计算图和神经网络(DNN, CNN, RNN)
Deep Learning framework in C++/CUDA that supports symbolic/automatic differentiation, dynamic computation graphs, tensor/matrix operations accelerated by GPU and implementations of various state-of-the-art graph neural networks and other Machine Learning models including Covariant Compositional Networks For Learning Graphs [Risi et al]
A visual Deep Learning Framework for the Web - Built with WebGPU, Next.js and ReactFlow.
Flow-based data pre-processing for deep learning
A deep learning framework created from scratch with Python and NumPy
Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".
[Experimental] Graph and Tensor Abstraction for Deep Learning all in Common Lisp
Imperative deep learning framework with customized GPU and CPU backend
TorchHandle makes your PyTorch development more efficient and make you use PyTorch more comfortable
Deep Learning in pure C++
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