Jax is one of the main characters of Glitch Productions ' indie animated web series The Amazing Digital Circus, voiced by Michael Kovach. He is a lanky lilac rabbit who is trapped in the Digital Circus along with five other victims. 3.2 "Candy Carrier Chaos!" (Episode 2)

We’ll use the small, self-contained scikit-learn digits dataset for ease of experimentation to demonstrate diffusion model training. For simplicity, we’ll focus on generating only the digit ‘1’ (one). In this section, we’ll develop various parts of the …

A JAX implementation of a Convolutional Neural Network (CNN) for classifying handwritten digits from the MNIST dataset. - dattgoswami/MNIST-Classifier-JAX

JAX is a Python package for array-oriented computation and program transformation. Built around it is a growing ecosystem of packages for specialized numerical computing across a range of domains; an up-to-date list of such projects can be found at Awesome JAX.

2023年12月13日 · This Google Colab notebook demonstrates the implementation of a Generative Adversarial Network (GAN) using the JAX library and Flax, a neural network library designed …

得益于 XLA，JAX 可以轻松地在加速器上进行计算，但 JAX 也可以轻松地使用多个加速器进行计算，即使用单个命令 - pmap () 执行 SPMD 程序的分布式训练。

2024年11月27日 · MNIST Digit Classification program is the “Hello World!” program of deep learning. We will implement this example using FLAX, a high-level deep learning library (that abstracts some of the...

Variational autoencoder (VAE) and debugging in JAX # This tutorial explores a simplified version of a generative model called Variational Autoencoder (VAE) with scikit-learn digits dataset, and expands on what we learned in Getting started with JAX.

2023年10月24日 · 本文继续深入JAX的核心内容，解读JAX的三大核心函数（自动微分 jax.grad 、 自动并行 jax.vmap 、 自动计算图优化 jax.jit）及其优缺点。

基于PieCloudVector的 RAG实践 什么是RAG ？ 检索增强生成（RAG）主要作用是对大型语言模型（LLM）的输出进行优化，使其能够在生成响应结果之前引用训练数据来源之外的权威知识库。大型语言模型用海量数据进行训练，使用数十亿个参数为回答问题、翻译语言和完成句子等任务生成原始输出。在 发布 ...