Overview: Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...
JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain ...
Good Morning, Tech Fam! Here’s your quick dose of today’s biggest tech headlines. What’s New Today: Moore Threads challenges Nvidia with next-gen AI chips, the ...
A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...
Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset
Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...
Overview of one stage in PointMLP. Given an input point cloud, PointMLP progressively extracts local features using residual point MLP blocks. In each stage, we first transform the local point using a ...
Auto-Encoding Variational Bayes by Kingma et al. This repo. is developed based on Tensorflow-mnist-vae. Well trained VAE must be able to reproduce input image. Figure 5 in the paper shows reproduce ...
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