#计算机科学#Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
#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...
Early stopping for PyTorch
Official Pytorch implementation of CutMix regularizer
翻译 - CutMix正则化器的官方Pytorch实现
Training neural models with structured signals.
翻译 - 用结构化信号训练神经模型。
#计算机科学#Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
#计算机科学#Code for reproducing Manifold Mixup results (ICML 2019)
Image-processing software for cryo-electron microscopy
Simple Implementation of many GAN models with PyTorch.
#计算机科学#[CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
#计算机科学#Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
#计算机科学#Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
#计算机科学#机器学习-Coursera-吴恩达- python+Matlab代码实现
#计算机科学#Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
#计算机科学#a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Lad...
#计算机科学#Generalized Linear Models in Sklearn Style
Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"