Lists (5)
Starred repositories
41
stars
written in Jupyter Notebook
Clear filter
Google Research
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
My blogs and code for machine learning. http://cnblogs.com/pinard
AIInfra（AI 基础设施）指AI系统从底层芯片等硬件，到上层软件栈支持AI大模型训练和推理。
Reference models and tools for Cloud TPUs.
A better notebook for Scala (and more)
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
Homepage for STAT 157 at UC Berkeley
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray
《统计学习方法》笔记-基于Python算法实现
cluster data collected from production clusters in Alibaba for cluster management research
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…
Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
An experimental platform for federated learning.
(Chinese Only)Everything I know: DevOps & CloudNative, Linux, Embedded, Homelab, Music, Blockchain, AI, etc...
此仓库将介绍Deep Learning 所需要的基础知识以及NLP方面的模型原理到项目实操 : )
Mish Activation Function for PyTorch
Tutorials of Tensorflow for beginners with popular data sets and projects. Let's have fun to learn Machine Learning with Tensorflow.