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Official Implement of "ADGym: Design Choices for Deep Anomaly Detection", NeurIPS 2023
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
An open source python library for automated feature engineering
Must-read papers and resources related to causal inference and machine (deep) learning
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2 and Pytorch.
Uplift modeling and causal inference with machine learning algorithms
Probabilistic time series modeling in Python
Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
A Library for Advanced Deep Time Series Models.
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"
tracking papers, datasets, and models of "large language model (LLM) for time series"
Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models"
Open-Sora: Democratizing Efficient Video Production for All
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
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
LangChain 的中文入门教程
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
[ICLR 2024 & NeurIPS 2023 WS] An Evaluator LM that is open-source, offers reproducible evaluation, and inexpensive to use. Specifically designed for fine-grained evaluation on a customized score ru…
A research project for natural language generation, containing the official implementations by MSRA NLC team.
About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate to open an issue if you run into any trouble!
This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.