shaoshuai6666

shaoshuai6666's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python170k1.5k3.1k44.8k

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  67.7k1.9k1439.2k

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python66.8k2831.7k8.2k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.8k291432.3k

• jina-ai/jina

  ☁️ Build multimodal AI applications with cloud-native stack

  Language:Python21.1k2121.9k2.2k

• BeyondDimension/SteamTools

  🛠「Watt Toolkit」是一个开源跨平台的多功能 Steam 工具箱。

  Language:C#20.9k1132.1k1.4k

• Mikoto10032/DeepLearning

  深度学习入门教程, 优秀文章, Deep Learning Tutorial

  Language:Jupyter Notebook14.9k305143.6k

• jina-ai/clip-as-service

  🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

  Language:Python12.5k2226112.1k

• josStorer/chatGPTBox

  Integrating ChatGPT into your browser deeply, everything you need is here

  Language:JavaScript10.2k54698775

• resumejob/awesome-resume

  Resume，Resume Templates，程序员简历例句，简历模版，

  6.8k961738

• docarray/docarray

  Represent, send, store and search multimodal data

  Language:Python3k46639232

• AIStream-Peelout/flow-forecast

  Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

  Language:Python2.1k28200297

• hua1995116/react-resume-site

  木及简历，一款markdown的在线简历工具。 https://www.mujicv.com

  Language:TypeScript2k1234268

• Thinklab-SJTU/awesome-ml4co

  Awesome machine learning for combinatorial optimization papers.

  Language:Python1.8k412205

• jina-ai/finetuner

  :dart: Task-oriented embedding tuning for BERT, CLIP, etc.

  Language:Python1.5k2825267

• qingsongedu/awesome-AI-for-time-series-papers

  A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

  1.3k563128

• zalandoresearch/pytorch-ts

  PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

  Language:Python1.3k26142197

• jina-ai/jcloud

  Simplify deploying and managing Jina projects on Jina Cloud

  Language:Python298223812

• eujc/ChatGPT

  chatgpt 注册教程，chatgpt **怎么用?

  1623322

• MingjunZhong/NeuralNetNilm

  Sequence-to-point learning for non-intrusive load monitoring (energy disaggregation)

  Language:Python713521

• deep-daya/Energy_Systems_and_Control-Projects

  Projects related to Energy Systems and Control covering Flight Path Optimization, Battery Modeling, State Estimation, Optimal Economic Dispatch of Distribution, Forecasting Electricity Power Consumption, Optimal PHEV Energy Management

  Language:MATLAB682010

• LuciaZhang9/Gli-appunti-di-Lucia

  All sharable valuable material appeared / mentioned in my videos. 所有视频中出现过 / 提到的有价值(学习)材料。

  587020

• inesylla/energy-disaggregation-DL

  Language:Python521110

• chncwang/laozhongyi

  Laozhongyi is an automatic hyperparameter tuning program based on grid search and simulated annealing.

  Language:Java503012

• antoniosudoso/attention-nilm

  An Attention-based Deep Neural Network for Non-Intrusive Load Monitoring

  Language:Python455013

• shaoshuai6666/NILM-Chinese

  完成我的毕业论文，顺便记录一下NILM(非侵入式负荷监测)的学习过程，帮助其他研究NILM的中国学生轻松上手

  Language:Shell28102

• BHafsa/deep-nilmtk-v1

  Deep-NILMtk is an open source package designed specifically for deep models applied to solve NILM. It implements the general NILM pipeline independently of the deep learning backend. In its current version the toolkit considers two of the most popular deep learning pipelines. The training and testing phases are fully compatible with NILMtk. Several

  Language:Jupyter Notebook27437

• ChongAih/Probabilistic-Load-Forecasting-with-Quantile-Regression

  Comparison study of GB, XGB, LGBM and NN's performance in probabilistic load forecasting

  Language:Jupyter Notebook253013

• yuvalailer/nnplot

  :tv: A Python library for pruning and visualizing Keras Neural Networks' structure and weights

  Language:Python10301

• antoniosudoso/nilm-bqp

  Mixed-Integer Nonlinear Programming for NILM

  Language:Python9103