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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🚀 Feature
Teach torch.Tensor.scatter_ to handle index.size(d) > src.size(d).
Motivation
Currently, torch.Tensor.scatter_ requires index.size(d) <= src.size(d) for all dimensions d, unless src is float-valued. This constraint seems artificial.
import math
import torch
device = 'cuda' # fail
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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Jun 8, 2021 - Jupyter Notebook
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Aug 16, 2021 - Python
A curated list of awesome Deep Learning tutorials, projects and communities.
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Aug 9, 2021
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
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Aug 3, 2021 - C++
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
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Aug 12, 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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Aug 16, 2021 - Python
Visualizer for neural network, deep learning, and machine learning models
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Aug 16, 2021 - JavaScript
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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Aug 7, 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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Aug 16, 2021 - C
In gensim/models/fasttext.py:
model = FastText(
vector_size=m.dim,
vector_size=m.dim,
window=m.ws,
window=m.ws,
epochs=m.epoch,
epochs=m.epoch,
negative=m.neg,
negative=m.neg,
# FIXME: these next 2 lines read in unsupported FB FT modes (loss=3 softmax or loss=4 onevsall,
# or model=3 superviA comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
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May 2, 2021 - TypeScript
machine learning and deep learning tutorials, articles and other resources
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The "Python Machine Learning (1st edition)" book code repository and info resource
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Jul 30, 2021 - Jupyter Notebook
New Operator
Describe the operator
Why is this operator necessary? What does it accomplish?
This is a frequently used operator in tensorflow/keras
Can this operator be constructed using existing onnx operators?
If so, why not add it as a function?
I don't know.
Is this operator used by any model currently? Which one?
Are you willing to contribute it?
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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Aug 16, 2021 - Python
Deep learning library featuring a higher-level API for TensorFlow.
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Jan 25, 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
机器学习相关教程
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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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Aug 10, 2021 - Python
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
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Jul 8, 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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Aug 15, 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.