#
Neural Network
Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.
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malfet
commented
Aug 26, 2021
Motivation
Currently lots of C++ based unit tests are executed directly from test.sh/win-test.sh for example:
https://github.com/pytorch/pytorch/blob/0bd8d0951dcb4063c0f7552a7404bd7f0e7b6e6f/.jenkins/pytorch/test.sh#L317
Which have following drawbacks:
- It excluded those test runtime from auto-sharding/auto-categorization
- Make them subject of running on only particular platform (
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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Sep 14, 2021 - Jupyter Notebook
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Sep 17, 2021 - Python
A curated list of awesome Deep Learning tutorials, projects and communities.
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Sep 2, 2021
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
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Sep 14, 2021 - C
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
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Aug 27, 2021 - C++
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
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paddlepaddle
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Sep 18, 2021 - Python
Visualizer for neural network, deep learning, and machine learning models
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Sep 17, 2021 - JavaScript
davidsoergel
commented
Feb 13, 2019
fitDataset() expects a Dataset that produces elements of a certain shape, with matching batch sizes etc., and throws errors (from standardizeDataIteratorOutput()) when the conditions are not met. These errors should be tested.
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
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Sep 10, 2021 - Jupyter Notebook
Roadmap to becoming an Artificial Intelligence Expert in 2021
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Apr 16, 2021 - JavaScript
ncnn is a high-performance neural network inference framework optimized for the mobile platform
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Sep 17, 2021 - C
edg-stg
commented
Sep 13, 2021
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
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May 2, 2021
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May 2, 2021 - TypeScript
machine learning and deep learning tutorials, articles and other resources
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machine-learning
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Sep 7, 2021
GuanLuo
commented
Sep 9, 2021
Bug Report
Is the issue related to model conversion?
If the ONNX checker reports issues with this model then this is most probably related to the converter used to convert the original framework model to ONNX. Please create this bug in the appropriate converter's GitHub repo (pytorch, tensorflow-onnx, sklearn-onnx, keras-onnx, onnxmltools) to get the best help.
Describe the bug
T
The "Python Machine Learning (1st edition)" book code repository and info resource
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Jul 30, 2021 - Jupyter Notebook
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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Sep 17, 2021 - Python
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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Jan 16, 2021 - Java
Deep learning library featuring a higher-level API for TensorFlow.
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Jan 25, 2021 - Python
机器学习相关教程
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Dec 22, 2020 - Python
TensorFlow Tutorials with YouTube Videos
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Jan 15, 2021 - Jupyter Notebook
TensorFlow tutorials and best practices.
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Oct 22, 2020
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
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Aug 14, 2019 - TypeScript
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
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Sep 10, 2021 - Python
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
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Sep 9, 2021
Build your neural network easy and fast, 莫烦Python中文教学
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Apr 1, 2021 - Jupyter Notebook
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
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paddlepaddle
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Sep 17, 2021 - Python
Current implementation of Go binding can not specify options.
GPUOptions struct is in internal package. And
go generatedoesn't work for protobuf directory. So we can't specify GPUOptions forNewSession.