Repository Index

Translatedflink learning blog. http://www.54tianzhisheng.cn/ Covers Flink introduction, concepts, principles, hands-on practice, performance tuning, source code analysis, and more. Includes learning examples involving Flink Connector, Metrics, Library, DataStream API, Table API & SQL, and also shares large-scale project cases of Flink in production (PV/UV, log storage, real-time deduplication of 10 billion records, monitoring and alerting). You are welcome to support my column 《大数据实时计算引擎 Flink 实战与性能优化》 ("Big Data Real-Time Computing Engine Flink: Hands-On Practice and Performance Optimization")

• flink
• kafka
• elasticsearch
• spark

Natural Language Processing Tutorial for Deep Learning Researchers

• nlp
• natural-language-processing
• tutorial
• pytorch

TranslatedMachine learning tutorials

• machine-learning
• neural-network
• tensorflow
• python

FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more. Translations: 🇺🇸 🇨🇳 🇰🇷 🇪🇸 🇻🇳 🇧🇷 🇷🇺

• ffmpeg
• ffmpeg-libraries
• libav
• tutorial

A collection of machine learning examples and tutorials.

• deep-learning
• machine-learning
• reinforcement-learning
• python

The repository host gives no description.

• burst
• multicore-processors
• ecs
• entity

Collection of notebooks about quantitative finance, with interactive python code.

• quantitative-finance
• jupyter-notebooks
• kalman-filter
• option-pricing

If you're new to DDD and not sure where to start, this process will guide you step-by-step

• domain-driven-design

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

Translated🌟100+ original LLM / RL algorithm diagrams📚, a great gift from the author of 《大模型算法》 (Large Model Algorithms)! 💥 (100+ LLM/RL Algorithm Maps)

• llm
• reinforcement-learning
• algorithm
• nlp-machine-learning

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

• pytorch
• sentiment-analysis
• tutorial
• rnn

「画像処理100本ノック」中文版本！为图像处理初学者设计的 100 个问题。

The process of extracting product data from Amazon using Python, including titles, ratings, prices, images, and descriptions.

• amazon
• amazon-scraper
• python
• web-scraper

📖 OpenCV-Python image processing tutorial for beginners

• opencv
• opencv-python
• image-processing

The Python Code Tutorials

• python
• python3
• scapy
• ethical-hacking

Instructions for building an almost consumer hardware based prototype of a hearing aid

• hearing
• hearing-aids
• signal-processing
• jack

Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.

• stft
• hanning-window
• laplace-transform
• fft

🗂️ This repository provides a guide to creating Xcode templates for iOS boilerplate code to save time and increase creativity in development. It simplifies the process and helps new team members get up to speed. A solution to Xcode's poorly documented templates.

• boilerplate
• swift
• template
• xcode

a tutorial on ThreeJS post processing

Constructive Generation Methods for Dungeons and Levels

A method for creating an IE specific stylesheet that allows the content of media queries to become accessible to Internet Explorer 8 and below. This process uses LESS string interpolation to convert media queries into media types which are supported back to IE6.