NumPy实现类PyTorch的动态计算图和神经网络框架(MLP, CNN, RNN, Transformer)
MIT License
机器学习教程,本教程包含基于numpy、sklearn与tensorflow机器学习,也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch ten...
Implementation of key concepts of neuralnetwork via numpy
Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/151...
This repository contains small projects related to Neural Networks and Deep Learning in general. ...
Feed Forward Neural Networks using Numpy
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍
TensorLy: Tensor Learning in Python.
Learn how modern, modular Neural Networks work by implementing a PyTorch/Keras-like framework.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Precompiled packages for AWS Lambda