#计算机科学#Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur...
#人脸识别#🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
翻译 - yPyTorch上的高性能人脸识别库🔥🔥
#计算机科学#TensorFlow (Python API) implementation of Neural Style
翻译 - 神经样式的TensorFlow(Python API)实现
#数据仓库#C++ Implementation of PyTorch Tutorials for Everyone
翻译 - 面向深度学习研究人员的PyTorch教程的C ++实现
High-efficiency floating-point neural network inference operators for mobile, server, and Web
翻译 - 适用于移动设备,服务器和Web的高效浮点神经网络推理运算符
#计算机科学#🙄 Difficult algorithm, Simple code.
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Unofficial PyTorch implementation of the paper titled "Progressive growing of GANs for improved Quality, Stability, and Variation"
翻译 - ProGAN包实现为PyTorch nn.Module的扩展
#计算机科学#HDR image reconstruction from a single exposure using deep CNNs
#计算机科学#FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)
#人脸识别#libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition...
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
#计算机科学#Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
#计算机科学#Keras tutorial for beginners (using TF backend)
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computation...
Comparison of famous convolutional neural network models
Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)