Repository Index

TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2

• fp-growth
• apriori
• mahchine-leaning
• naivebayes

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A neural network that transforms a design mock-up into a static website.

• keras
• deep-learning
• seq2seq
• encoder-decoder

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

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

• pytorch
• pytorch-tutorials
• pytorch-tutorials-cn
• deep-learning

TranslatedChinese translation of wtfpython / ongoing 🚧... / My ability is limited, you are welcome to help me improve the translation

My blogs and code for machine learning. http://cnblogs.com/pinard

• machinelearning
• algorithms
• scikit-learn
• reinforcementlearning

TranslatedBuild your neural network easy and fast, 莫烦Python (Morvan Python) Chinese teaching

• neural-network
• python
• pytorch-tutorial
• batch-normalization

TranslatedAI in Practice - practicalAI, Chinese version

• machine-learning
• jupyter-notebook
• pytorch
• google-colab-notebook

TranslatedTensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0 version introductory example code and hands-on tutorials.

• tensorflow
• tensorflow-examples
• tensorflow-tutorials
• tensorflow-2

TranslatedAI for All: The First Systematic Vibe Coding Tutorial | From Zero to Full-Stack, Bring Your Ideas to Life | Live at: www.vibevibe.cn

• agent
• agentic-ai
• ai
• coding-assistant

TranslatedSimplified Chinese translation of the http://learnopengl.com tutorial series

• learnopengl
• translation

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

• pytorch
• seq2seq
• sequence-to-sequence
• tutorial

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.

The CNIL publishes a GDPR guide for developers

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

• hyperopt
• hyperparameter-optimization
• hyperparameter-tuning
• hyperparameters-optimization