There are 18 repositories under deep-learning-framework topic.
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Infrastructures™ for Machine Learning Training/Inference in Production.
One-Stop System for Machine Learning.
Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.
benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.
以jax为后端的类似keras的框架
NumPy实现类PyTorch的动态计算图和神经网络(DNN, CNN, RNN)
A visual Deep Learning Framework for the Web - Built with WebGPU, Next.js and ReactFlow.
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]
Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".
Deep Learning in pure C++
An imperative deep learning framework with customized GPU and CPU backend
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
A deep learning library with static computational graph and auto-diff in C++.
基于u2net网络进行简单修改使其部署到rk3588板子上
An Educational Framework Based on PyTorch for Deep Learning Education and Exploration
A deep learning framework built to understand the fundamental concepts such as autodiff, optimizers, loss functions from a first principle basis.
Explore the latest AI Agent Framework!
A Pytorch inspired Deep Learning Framework with GPU Acceleration.
A curated list of awesome Machine Learning frameworks, libraries and software.