机器学习 · GitHub

This is Andrew NG Coursera Handwritten Notes.

A GUI tool for offline transcription of speech recordings, including speaker diarization, utilizing state-of-the-art machine learning models.

• Batch Processing, allowing to have files queued for transcription
• Add options for more verbatim output

用 3 行代码实现快速、准确的机器学习

100 天机器学习编程

我相信，作为本书主要读者的研究生和求职者会从阅读本书中受益；不过，我也希望即使是经验最丰富的研究人员，也会觉得本书颇为有趣。

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 complete open-source release of the book 《 Deep Learning: Foundations and Concepts 》 and its related supporting resources

The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

Lightweight, powerful real-time speech translation with multilingual support and a multilingual UI.

• Local models: Run recognition models such as Qwen3-ASR and SenseVoiceSmall, and translation models such as HY-MT2 locally. The app can also search for and install other models from Hugging Face.
• Cloud models: Use speech recognition from Aliyun, MiniMax, and other providers; connect translation models through LLM protocols such as OpenAI-compatible APIs, Anthropic, or Ollama; or use the free MyMemory translation service.

Clean up noisy speech in real time with DPDFNet - open-source streaming speech enhancement for research, audio apps, and edge devices. Includes pretrained models, PyTorch code, ONNX/TFLite inference, 8/16/48 kHz support, and live demos.

🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

OpenPose：用于身体、面部、手部和足部估计的实时多人关键点检测库

• 15, 18 or 25-keypoint body/foot keypoint estimation, including 6 foot keypoints. Runtime invariant to number of detected people.
• 2x21-keypoint hand keypoint estimation. Runtime depends on number of detected people. See OpenPose Training for a runtime invariant alternative.

🎨 ML Visuals 包含可重复使用和自定义的图表与模板，帮助改进科学写作。

ChatGPT资料汇总学习，持续更新......

100+ AI Machine learning Deep learning Computer vision NLP Projects with code

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

LLM algorithm practice lab with theory, solutions, and test cases.《大模型算法与系统教程》面向大模型入门到进阶的算法实战教程，覆盖原理讲解、答案解析、测试用例与 CUDA/Triton 实战。

• Notebook-first: Each lesson is organized around runnable code, exercises, answer cells, and basic validation.
• Goal-oriented entry: Start from Part 02 for implementation practice, or follow the architecture, post-training, inference, performance, and operator routes.