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Dataframes powered by a multithreaded, vectorized query engine, written in Rust
2021年最新总结,推荐工程师合适读本,计算机科学,软件技术,创业,思想类,数学类,人物传记书籍
eBPF-based Networking, Security, and Observability
eBPF Developer Tutorial: Learning eBPF Step by Step with Examples
BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more
Python package built to ease deep learning on graph, on top of existing DL frameworks.
GAIA, with the full name Generic AIOps Atlas, is an overall dataset for analyzing operation problems such as anomaly detection, log analysis, fault localization, etc.
A collection listing all Achievements available on the GitHub profile 🏆
An unidentifiable mechanism that helps you bypass GFW.
Secure and fast microVMs for serverless computing.
A community-maintained Python framework for creating mathematical animations.
Mirror of the apt git repository - This is just a mirror of the upstream repository, please submit pull requests there: https://salsa.debian.org/apt-team/apt
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
😘 让你“爱”上 GitHub,解决访问时图裂、加载慢的问题。(无需安装)
Pytorch Implementation for Graph Convolutional Neural Networks
[ECCV-2020]: Improving Semantic Segmentation via Decoupled Body and Edge Supervision
[NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"
A simplified implemention of Faster R-CNN that replicate performance from origin paper