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Generative Agents: Interactive Simulacra of Human Behavior
TypeChat is a library that makes it easy to build natural language interfaces using types.
by ex-googlers, for ex-googlers - a lookup table of similar tech & services
A playbook for systematically maximizing the performance of deep learning models.
A list of learning materials to understand databases internals
Self-Driving Database Management System from Carnegie Mellon University
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
A python library for user-friendly forecasting and anomaly detection on time series.
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, B…
A curated list of awesome anomaly detection resources
A curated list of data mining papers about fraud detection.
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
Micro second messaging that stores everything to disk
The Linux Kernel Module Programming Guide (updated for 5.0+ kernels)
Go implementation of the Ethereum protocol
💿 Free software that works great, and also happens to be open-source Python.
Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Complementary Concurrency Programs for course "Linux Kernel Internals"
Record CS knowlegement with XMind, version 2.0. 使用 XMind 记录 Linux 操作系统，网络，C++，Golang 以及数据库的一些设计
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
Best Practices on Recommendation Systems
Visually explore, understand, and present your data.