aries-M

aries-M'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:Python166k1.6k2.6k44k

• OpenInterpreter/open-interpreter

  A natural language interface for computers

  Language:Python52k3889214.6k

• openai/chatgpt-retrieval-plugin

  The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

  Language:Python21k3252313.7k

• google/eng-practices

  Google's Engineering Practices documentation

  19.9k655142k

• eosphoros-ai/DB-GPT

  AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

  Language:Python13.2k1161k1.7k

• PaddlePaddle/PaddleNLP

  👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

  Language:Python11.9k1053.6k2.9k

• awsdocs/aws-doc-sdk-examples

  Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.

  Language:Java9.4k2032.3k5.6k

• alteryx/featuretools

  An open source python library for automated feature engineering

  Language:Python7.2k1551k869

• alibaba/euler

  A distributed graph deep learning framework.

  Language:C++2.9k139317559

• Nixtla/nixtla

  TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

  Language:Jupyter Notebook2.2k36141170

• boto/botocore

  The low-level, core functionality of boto3 and the AWS CLI.

  Language:Python1.5k681.1k1.1k

• DeppWang/youdaonote-pull

  📝 一个一键导出 / 备份「有道云笔记」所有笔记的 Python 脚本。 A Python script to export/backup all the notes of the "Youdao Note".

  Language:Python1.3k13129278

• neo4j/neo4j-python-driver

  Neo4j Bolt driver for Python

  Language:Python89397247187

• IndexFziQ/GNN4NLP-Papers

  A list of recent papers about Graph Neural Network methods applied in NLP areas.

  892351139

• AutoViML/Auto_TS

  Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

  Language:Jupyter Notebook7211888113

• xwhan/DeepPath

  code and docs for my EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"

  Language:Python5281526135

• aws-samples/amazon-forecast-samples

  Notebooks and examples on how to onboard and use various features of Amazon Forecast.

  Language:Jupyter Notebook5134057370

• michiyasunaga/LinkBERT

  [ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links

  Language:Python4117041

• rgbkrk/genai

  What if GPT could help you notebook?

  Language:Python35471837

• qitianwu/NodeFormer

  The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

  Language:Jupyter Notebook28542127

• aprbw/traffic_prediction

  Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

  Language:TeX27412046

• DataCanvasIO/HyperTS

  A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

  Language:Python2601110527

• yongqyu/MolGAN-pytorch

  Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

  Language:Python16171442

• solidsea98/Neural-Corpus-Indexer-NCI

  Language:Python1492419

• facebookresearch/shaDow_GNN

  NeurIPS 2021: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architectures

  Language:Python13312816

• inria-thoth/GraphiT

  Official Pytorch Implementation of GraphiT

  Language:Python1055112

• flyingdoog/PTDNet

  Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification

  Language:Python74237

• clovaai/SSUL

  [NeurIPS 2021] SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning

  Language:Python59539

• lenscloth/GRPE

  Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"

  Language:Python53327

• seongjunyun/Neo-GNNs

  Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction

  Language:Python34247