Cyspaul

Cyspaul's Stars

• lich0821/WeChatRobot

  微信机器人，接入Gemini、ChatGPT、ChatGLM、讯飞星火、Tigerbot；成语接龙、天气预报、新闻摘要、定时任务。

  Language:Python1.1k231

• chatanywhere/GPT_API_free

  Free ChatGPT API Key，免费ChatGPT API，支持GPT4 API（免费），ChatGPT国内可用免费转发API，直连无需代理。可以搭配ChatBox等软件/插件使用，极大降低接口使用成本。国内即可无限制畅快聊天。

  Language:Python20.8k1.6k

• standing-o/SoH_estimation_of_Lithium-ion_battery

  State of health (SOH) prediction for Lithium-ion batteries using regression and LSTM

  Language:Jupyter Notebook17943

• davidmrau/mixture-of-experts

  PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

  Language:Python93497

• marvinatorrr/SOH-estimation

  Lithium ion battery state of health estimation and remaining useful life prediction using ELM

  Language:Jupyter Notebook518

• realWang-Wei/BroadLearningSystem

  here is the introduce of bls

  Language:Python6210

• apachecn/RecommenderSystems

  推荐系统

  Language:Python757213

• LiangjunFeng/Broad-Learning-System

  BLS Code

  Language:Python11237

• tampapath/lung_colon_image_set

  Lung and Colon Cancer Histopathological Image Dataset

  469

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.3k1.9k

• MartaYang/SEGA

  Codes for the WACV 2022 paper: "SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning"

  Language:Jupyter Notebook211

• gidariss/wDAE_GNN_FewShot

  Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning

  Language:Python15622

• oscarknagg/few-shot

  Repository for few-shot learning machine learning projects

  Language:Python1.2k245

• extreme-assistant/CVPR2024-Paper-Code-Interpretation

  cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

  12.4k2.3k

• EliSchwartz/DeltaEncoder

  This is the tensorflow implementation for the paper "Delta-encoder: an effective sample synthesis method for few-shot object recognition" https://arxiv.org/abs/1806.04734

  Language:Python5013