Stars
joint detection and semantic segmentation, based on ultralytics/yolov5,
This research provides a prognostic framework for off-line SOH estimation of Li-ion battery. With a CNN-Transformer architecture, this program is capable of modeling the temporal correlations of ba…
Forecasting Remaining Useful Life (RUL) using NASA Li-Ion Battery Dataset
[CVPR 2024] MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.
PCoE Li-ion Battery Data Modeling
Prediction of battery state from charging/discharing profile
Implementation of a model that predicts the SoH of batteries using the NASA Battery Dataset
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality (CVPR 2022)
🕹️SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy
PyTorch android examples of usage in applications
Sensor-based human activity recognition from smartphone data in Keras with on-device inference
基于图像识别的自动化黑盒测试框架 | An automation black-box testing framework based on image recognition
Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.
Boosted Dynamic Neural Networks, AAAI 2023
Pytorch Implement of Dynamic Snake Convolution (ICCV2023)
A programming framework for agentic AI 🤖
small-volcano / Data_Structures_Demo_for_Undergraduate_Education
Forked from Chauncey-Wang/Data_Structures_Demo_for_Undergraduate_EducationData_Structures_Demo_for_Undergraduates_in_NNU
Papers, repository and other data about anime or manga research. Please let me know if you have information that the list does not include.
The official project website of "KernelWarehouse: Rethinking the Design of Dynamic Convolution" (KW for short, accepted to ICML 2024)
Official implementation of Dynamic Perceiver
HanLP作者的新书《自然语言处理入门》详细笔记！业界良心之作，书中不是枯燥无味的公式罗列，而是用白话阐述的通俗易懂的算法模型。从基本概念出发，逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。
Code for visualizing the loss landscape of neural nets