Fei Gao's starred repositories
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
FlagEmbedding
Retrieval and Retrieval-augmented LLMs
gpt-computer-assistant
Intelligence development framework in python for your product like Apple Intelligence
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
llm-graph-builder
Neo4j graph construction from unstructured data using LLMs
spreadsheet-is-all-you-need
A nanoGPT pipeline packed in a spreadsheet
LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
RAG-Survey
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
dtaidistance
Time series distances: Dynamic Time Warping (fast DTW implementation in C)
qdrant-client
Python client for Qdrant vector search engine
memae-anomaly-detection
MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.
embedding_rerank_retrieval
本项目是针对RAG中的Retrieve阶段的召回技术及算法效果所做评估实验。使用主体框架为LlamaIndex.