Lists (6)
Stars
🦜🔗 The platform for reliable agents.
CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era
We propose the Text-to-CQL task and provide the dataset.
LLM-KG4QA: Large Language Models and Knowledge Graphs for Question Answering
A guidance language for controlling large language models.
MinIO is a high-performance, S3 compatible object store, open sourced under GNU AGPLv3 license.
これからApache Icebergを学びたい人向けの実践的なハンズオンです。コンテナが動く端末1台で始められます
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A Model for Natural Language Attack on Text Classification and Inference
Python tool for converting files and office documents to Markdown.
Fast Differentiable Sorting and Ranking
Generative Anomaly Detection for Multiple Instance Learning problems.
This repository contains experiments conducted for the paper submitted to ECML-2018 Group Anomaly detection using deep generative models.
PyTorch Implementation of Neural Statistician
[NeurIPS 2023] "Learning to Augment Distributions for Out-of-distribution Detection"
Code for FoldingNet based on Caffe for unsupervised deep learning on point clouds
Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomaly detection, few-shot anomaly detection.
A collection of AWESOME things about domain adaptation
[ICML 2020] Continuously Indexed Domain Adaptation
Flexible Feature Engineering & Exploration Library using GPUs and Optuna.
Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]
Awesome things about domain generalization, including papers, code, etc.
A curated list of awesome anomaly detection resources
🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】