JinYang88
Follow
Stars
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Instruct-tune LLaMA on consumer hardware
links to conference publications in graph-based deep learning
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
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 …
小型金融知识图谱构建流程（neo4j / python / cypher / KG）
List of papers, code and experiments using deep learning for time series forecasting
Algorithms for outlier, adversarial and drift detection
Datasets, tools, and benchmarks for representation learning of code.
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A machine learning toolkit for log-based anomaly detection [ISSRE'16]
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
TensorFlow implementation of an arbitrary order Factorization Machine
Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
This is a tutorial for PyTorch Geometric on the YooChoose dataset
Scripts and utility programs for implementing the USAD architecture.
Multi-Graph Convolutional Neural Networks
PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
Code and datasets for FSE'22 paper "Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems"
Log Parsing with Prompt-based Few-shot Learning (ICSE 2023, Technical Track)
E-commerce search benchmark is the first end-to-end application benchmark for e-commerce search system with personalized recommendations.This work is joint with Prof. Jianfeng Zhan (http://www.benc…
Mixtures of Probabilistic Principal Component Analysers implementation in python