Software-define Storage Distributed Storage Ceph gluster
欣宸Blog
https://cloud.tencent.com/developer/column/1662
circumvent Internet censorship
Proxy circumvention strategies Proxy servers XX-Net Shadowsocks v2ray / Xray Xray-core
Linux v2rayA 1 paru -S v2ray xray v2raya 1 systemctl enable --now v2raya.service Access the UI interface in the browser:
1 http://localhost:2017/ Because by default v2rayA will open 20170 (socks5), 20171 (http), 20172 (http with shunt rules) ports through the core.
NekoRay windows v2rayN Clash Linux clash-for-windows-bin 1 paru -S clash-for-windows-bin run with command:
1 ./cfw 1 echo "alias clash='cfw'" >> ~/.
Grafana
Reference
https://grafana.com/grafana/dashboards/893
Prometheus
Prometheus 入门与实践 吴 莉, 殷 一鸣, 和 蔡 林 2018 年 5 月 30 日发布 随着容器技术的迅速发展,Kubernetes 已然成为大家追捧的容器集群管理系统。Promet
Question answering
Reference
https://github.com/deepmipt/DeepPavlov https://github.com/deepset-ai/FARM https://github.com/huggingface/transformers https://github.com/deepset-ai/haystack https://github.com/deepset-ai/COVID-QA https://demo.allennlp.org/reading-comprehension https://github.com/baidu/AnyQ https://github.com/allenai/bi-att-flow https://github.com/google-research/language/tree/master/language/question_answering BERT Question Answering Inference with Mixed Precision in TensorFlow https://www.kaggle.com/c/tensorflow2-question-answering/ https://github.com/chrischute/squad https://github.com/ColasGael/QA-squad https://github.com/IBM/MAX-Question-Answering http://web.stanford.edu/class/cs224n/project/default-final-project-handout.pdf https://github.com/baidu/DuReader https://github.com/google-research/language/tree/master/language/question_answering https://www.kaggle.com/c/tensorflow2-question-answering/ https://github.com/chrischute/squad https://github.com/ColasGael/QA-squad https://github.com/IBM/MAX-Question-Answering http://web.stanford.edu/class/cs224n/project/default-final-project-handout.pdf https://github.com/allenai/bi-att-flow
tencent nlp interview
一面(技术面) 面试形式:电话面试。 简要的自我介绍。 研究生阶段最有挑战的项目是什么? 对于这个项目,传统的方法是怎么样的? 列举下这个任务在传统用
tensor2tensor
TranslateEnzhWmt8k => TranslateProblem ==> Text2TextProblem ==> Problem
Top 20 Python Libraries for Data Science
Core Libraries & Statistics NumPy SciPy Pandas StatsModels Visualization Matplotlib Seaborn Plotly Bokeh Pydot Machine Learning Scikit-learn XGBoost Eli5 Deep Learning TensorFlow PyTorch Keras Distributed Deep Learning Dist-keras / elephas / spark-deep-learning Natural Language Processing NLTK SpaCy Gensim Data Scraping Scrapy
Top Websites for Machine Learning
AI Hub
Skincare
Skincare Cleanse (清洁) oil cleanser mild cleanser 油性皮肤用用 38~40 度的热水比较好。比皮表温度稍高但又不觉得烫,容易把溢出的油脂洗掉。 使用尽量柔软的毛巾,毛巾每周清洗
Bigger Leaner Stronger 5-DAY WORKOUT ROUTINE
PHASE 1 WORKOUT 1 | PUSH Barbell Bench Press (杠铃卧推) Warm-up and 3 hard sets Incline Barbell Bench Press(斜杠铃卧推) 3 hard sets Dumbbell Bench Press(哑铃卧推) 3 hard sets Triceps Pushdown(肱三头肌下拉
workout
Barbell Bench Press (杠铃卧推) Incline Barbell Bench Press(斜杠铃卧推) Dumbbell Bench Press(哑铃卧推) Triceps Pushdown(肱三头肌下拉) Barbell Deadlift (杠铃硬拉) One-Arm Dumbbell Row (单臂哑铃
Search Architecture
搜索服务使用说明 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 st=>start: 开始 e=>end: 结束 op1=>operation: 服务订阅
Bigger Leaner Stronger
Workouts Meal Plans Part 1: What’s in This for You? 1. The Promise You absolutely, positively can have the lean, muscular, and powerful body that you dream about.
2. Who Is Mike Matthews and Why Should I Care? 3. Why Bigger Leaner Stronger Is Different Part 2: Key Things “They” Aren’t Telling You 4. The Hidden Barrier 5. What Most Men Will Never Know about Getting Fit – Part 1 6.
The Go Open Source Projects
PhotoPrism Step 1: Clone this project:
1 git clone https://github.com/photoprism/photoprism.git Step 2: Start Docker containers:
1 2 cd photoprism sudo docker-compose up Step 3: Open a new terminal to the photoprism container:
1 sudo docker-compose exec photoprism bash
Concurrency in Python
General concepts Concurrency vs Parallelism Concurrency is when two or more tasks can start, run, and complete in overlapping time periods. It doesn’t necessarily mean they’ll ever both be running at the same instant. For example, multitasking on a single-core machine.
Parallelism is when tasks literally run at the same time, e.g., on a multicore processor.
Say you have a program that has two threads. The program can run in two ways:
Bert
For all translation problems, we suggest to try the Transformer model. https://tensorflow.google.cn/official_models/fine_tuning_bert the configuration, vocabulary, and a pre-trained checkpoint. you can find the download url for this in README.md page. BERT 可解释性-从"头"说起 一、背景介绍 搜索场景下用户搜索的 query 和
Application performance management
分布式系统快速接入pinpoint1.8.3指南 本文链接:https://blog.csdn.net/boling_cavalry/arti
Tensorflow
TensorFlow Install TensorFlow 2 Version Python version Compiler Build tools tensorflow-2.2.0 3.5-3.8 GCC 7.3.1 Bazel 2.0.0 tensorflow-2.1.0 2.7, 3.5-3.7 GCC 7.3.1 Bazel 0.27.1 tensorflow-2.0.0 2.7, 3.3-3.7 GCC 7.3.1 Bazel 0.26.1 1 2 3 sudo pacman -U cuda-10.1.243-2-x86_64.pkg.tar.xz sudo pacman -U cudnn-7.6.5.32-2-x86_64.pkg.tar.xz pip install tensorflow-gpu Data input pipelines Keras Sequential API When to use a Sequential model A Sequential model is appropriate for a plain stack of layers where each layer has exactly one input tensor and one output tensor.