《神经网络与深度学习:案例与实践》第二版:10 章 PyTorch 实践、Notebook、测试与电子书。
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《神经网络与深度学习:案例与实践》第二版:10 章 PyTorch 实践、Notebook、测试与电子书。
🛠 All-in-one web-based IDE specialized for machine learning and data science.
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
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
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.
An educational AI robot based on NVIDIA Jetson Nano.
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
The repository host gives no description.
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
📚 Jupyter notebook tutorials for OpenVINO™
Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" (ICLR 2024)
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.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
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.
小型金融知识图谱构建流程(neo4j / python / cypher / KG)
Quantitative analysis, strategies and backtests
The Python Code Tutorials
[SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
The hub for EleutherAI's work on interpretability and learning dynamics
Introduction to Deep Neural Networks with Keras and Tensorflow
📚 《Deep Agents 实战》—— LangChain 官方大使出品,基于 LangChain / LangGraph 生态,从零构建生产级 AI Agent 的完整指南