#学习与技能提升#Low-code framework for building custom LLMs, neural networks, and other AI models
翻译 - Ludwig是在TensorFlow之上构建的工具箱，无需编写代码即可训练和测试深度学习模型。
#学习与技能提升#A mindmap summarising Deep Learning concepts.
#学习与技能提升#Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Deep diffs two objects, including nested structures of arrays and objects, and returns the difference. ❄️
#学习与技能提升#A deep learning model for style-specific music generation.
#学习与技能提升#JavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL.
#学习与技能提升#Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
#计算机科学#Action recognition using soft attention based deep recurrent neural networks
Recursively (deep) clone JavaScript native types, like Object, Array, RegExp, Date as well as primitives. Used by superstruct, merge-deep, and many others!
💡 Adversarial attacks on explanations and how to defend them
Holistically-Attracted Wireframe Parsing [TPAMI'23] & [CVPR' 20]
#学习与技能提升#Graph deep learning library for materials
Use property paths (`a.b.c`) get a nested value from an object.
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
High-performance immutable data structures for modern JavaScript and TypeScript applications. Functional interfaces, deep/composite operations API, mixed mutability API, TypeScript definitions, ES2015...
#算法刷题#Reinforcement learning with tensorflow 2 keras
