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DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
A Library for Advanced Deep Time Series Models.
Build Conversational AI in minutes ⚡️
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
🦜🔗 Build context-aware reasoning applications
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Source code of FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting
HuggingLLM, Hugging Future.
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
Scalable and user friendly neural 🧠 forecasting algorithms.
My second place solution in the M5 Accuracy competition
NeuralProphet: A simple forecasting package
3rd ranked model in M5 accuracy competition
Replication material for "Forecasting Hierarchical Time Series with a Regularized Embedding Space," KDD MileTS 2020
Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
Data, Benchmarks, and methods submitted to the M5 forecasting competition
Probabilistic time series modeling in Python
Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at …