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18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Learn how to design, develop, deploy and iterate on production-grade ML applications.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
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》)
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Book_1_《编程不难》 | 鸢尾花书：从加减乘除到机器学习；请多多批评指正！
A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
An Open-Source Python3 tool for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conv…
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
Code repository for Deep Learning with Keras published by Packt
Repository for suggesting new lineages that should be added to the current scheme
NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业
Code for "Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views" (CVPR 2019, T-PAMI 2021)
Code repository for Python Machine Learning Blueprints, published by Packt
[ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
李航《统计学习方法》中机器学习模型的LaTeX公式笔记
Toy models, experiments and random notes on machine learning and deep learning.
创建《Python自然语言处理》学习代码的中文注释版本。
On Deep Learning-based Channel Decoding
Global NIPS Paper Implementation Challenge of "Hiding Images in Plain Sight: Deep Steganography"
《最优化导论》第1 2 3 4 5 6 7 8 9 10 11 13 20 21 22 23章LaTeX公式笔记
Low-complexity Recurrent Neural Network-based Polar Decoder with Weight Quantization Mechanism