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Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
- face-swap
- generative-adversarial-network
- gan
- gans
This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
- image-translation
- stylegan
- generative-adversarial-network
- stylegan-encoder
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Open-source demos hosted on Dash Gallery
- plotly-dash
- dash
- plotly
🔊 Text-prompted Generative Audio Model - With the ability to clone voices
- ai-text-to-speech-tools
- ai-rapper-voice-generator
- ai-singing-voice-generator
- ai-voice-changers
Automatic Generation of Visualizations and Infographics using Large Language Models
- datavisualization
- llm
- openai
- visualization
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
- machine-learning
- jupyter-notebook
- python
- python3
An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
- python
- machine-learning
- explainability
- explainable-ml
Massively parallel rigidbody physics simulation on accelerator hardware.
📚 Jupyter notebook tutorials for OpenVINO™
- deep-learning
- machine-learning
- computer-vision
- openvino
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、TensorFlow、PyTorch
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
- python
- programming
- learning-exercise
- python-programming-exercises
A python library for decision tree visualization and model interpretation.
A high performance implementation of HDBSCAN clustering.
- machine-learning
- machine-learning-algorithms
- clustering
- clustering-algorithm
NMA Computational Neuroscience course
- neuroscience
- machine-learning
- dynamic-systems
- stochastic-processes
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
- interactive-segmentation
- segment-anything
- segment-anything-model
- video-object-segmentation
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
- agents
- ai-systems
- fine-tuning
- llm