🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Style transfer, deep learning, feature transform

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

YOLOv10: Real-Time End-to-End Object Detection

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

A tensorflow implementation for fast neural style!

Keras implementation of ViT (Vision Transformer)

Vision Transformer Cookbook with Tensorflow

Feed-forward neural network for real-time artistic style transfer

Diffractive Deep Neural Network. Image classification of Fashion-MNIST dataset using Python 3.6 and Tensorflow.

Analog Computing chip Combining Electronics and Light (ACCEL)

Implementation of Manuscript "Training large-scale optoelectronic neural networks with dual-neuron optical-artificial learning"

YOLOv10: Real-Time End-to-End Object Detection, adding video detection