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🚀🧨📝 Series of Tutorials to learn about Jetpack Compose with subjects Material Widgets, Layout, SubcomposeLayout, custom layouts, State, custom rememberable, recomposition, LaunchedEffect, side-effects, Gesture, Animation, Navigation, Canvas, UIs like whatsapp and others.
Clear examples, explanations, and resources for RxJS
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”数学不难“ 之 《线性代数不难》上下册，66话题完册；欢迎批评指正
Probably the best curated list of data science software in Python.
Learn how to design large-scale systems. Prep for the system design interview.
A curated list of state-of-the-art research in embodied AI, focusing on vision-language-action (VLA) models, vision-language navigation (VLN), and related multimodal learning approaches.
Learn Rust by writing Entirely Too Many linked lists
A best practice for tensorflow project template architecture.
Intro to Reinforcement Learning (强化学习纲要）
A curated collection of game development learning resources
Open Machine Learning course
A month-by-month roadmap for CS students: programming, DSA, development and placement prep, with curated free resources.
快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。
All notes and materials for the CS229: Machine Learning course by Stanford University
Applied Deep Learning Course
The roadmap for learning the C++ programming language for beginners and experienced devs.
Classic papers and resources on recommendation
《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。
Netty learning.
Chinese Translation for Machine Learning Infographics
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.