머신러닝 · GitHub

코드 3줄로 빠르고 정확한 머신러닝을 구현

100일간의 머신러닝 코딩

List of papers studying machine learning through the lens of category theory

Convolutional neural network for analyzing pentest screenshots

이 책을 주로 대상으로 하는 대학원생과 구직자 여러분은 이 책을 읽음으로써 많은 도움을 받을 것이라고 생각합니다. 또한 가장 경험이 풍부한 연구자들조차도 이 책을 흥미롭게 느끼기를 바랍니다.

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

all kinds of text classification models and more with deep learning

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.

🌟LLM/RL 독창적인 원리 도식 100개 이상📚, 《대형 언어 모델 알고리즘》 저자의 역작!💥 (LLM/RL 알고리즘 맵 100개 이상)

OpenPose: 신체, 얼굴, 손, 발 추정을 위한 실시간 다중 인물 키포인트 검출 라이브러리

• 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.

Maia is a human-like neural network chess engine trained on millions of human games.

Automated deep learning algorithms implemented in PyTorch.

• NAS - TAS - Network Pruning via Transformable Architecture Search - NeurIPS-2019-TAS.md
• DARTS - DARTS: Differentiable Architecture Search - ICLR-2019-DARTS.md

🎨 ML Visuals에는 과학적 글쓰기를 개선하기 위해 재사용하고 맞춤 설정할 수 있는 그림과 템플릿이 포함되어 있습니다.

ChatGPT资料汇总学习，持续更新......

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