Artificial Intelligence
The branch of computer science dealing with the reproduction, or mimicking of human-level intelligence, self-awareness, knowledge, conscience, and thought in computer programs.
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💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
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Dec 13, 2019 - Python
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
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Dec 13, 2019 - C++
Learn OpenCV : C++ and Python Examples
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Dec 14, 2019 - Jupyter Notebook
Caffe2 is a lightweight, modular, and scalable deep learning framework.
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Dec 13, 2019 - Shell
Visualizer for neural network, deep learning and machine learning models
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Dec 14, 2019 - JavaScript
Prerequisites
Please fill in by replacing
[ ]with[x].
- Are you running the latest
bert-as-service? - Did you follow the installation and the usage instructions in
README.md? - Did you check the [FAQ list in
README.md](https://github.com/hanxiao/bert-as-se
Hi, I doubt that data_utils.get_num_dialog_examples() returns correct number.
In dstc8_single_domain & train, data_utils.get_num_dialog_examples() returns 82588, but the number of examples in dstc8_single_domain_train_examples.tf_record is 41294. I think these two numbers should be the same. Is it right? (The former is around as double as the latter because get_num_dialog_examples() counts USE
Describe the proposal
It'd be nice to add an mlflow.pytorch.autolog() API for automatically logging metrics, params & models generated via PyTorch. In particular, I'd like this to be incorporated with the fastai library (built on PyTorch), which also generates artifacts such as learning rate finder plots, and autolog those as well.
Motivation
PyTorch is heavily used in research for
Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
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Dec 13, 2019 - C#
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
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Dec 13, 2019
🦉Data Version Control | Git for Data & Models
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Dec 14, 2019 - Python
Mycroft Core, the Mycroft Artificial Intelligence platform.
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Dec 13, 2019 - Python
There are two websites with library documentation. It seems to be too much. I suggest
enriching docs.deeppavlov.ai with articles from deeppavlov.ai, and linking deeppavlov.ai to docs.deeppavlov.ai.
Open-source simulator for autonomous driving research.
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Dec 14, 2019 - C++
A system for quickly generating training data with weak supervision
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Dec 14, 2019 - Python
2019/12/02 和Yi Wang沟通交流考虑SQLFLOW可以支持如下的特性
一、基础功能:好用的工具需要一个更加简易友好的界面,让业务开发/分析更加简单
1)设计分析类工具,提供自动联想输入、快速语法、常见语义错误,提升用户体验
应用场景:提供IDE的自动联想功能,提高开发效率;语法和基本语义提前检查,避免提交到后台,执行较长时间后报错
2)大数据量时时间较长,建议提供任务(job)管理、允许用户了解数据执行的状态、监控进度、提供动态调试、watch能力,方便用户感知和调优
应用场景:耗时任务可以快速了解整体进度,提供一些中间的过程信息、耗时等,方便用户进行调优,优化开发
3) 安全权限、用户管理、
应用场景:增加新的数据分析人员、用户权
BigDL: Distributed Deep Learning Library for Apache Spark
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Dec 12, 2019 - Scala
Is your feature request related to a problem? Please describe.
In order to encourage reproducibility, I propose a style guide of best practices for structuring code. This guide will go hand-in-hand with the research-seed for conferences.
Vespa is an engine for low-latency computation over large data sets.
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Dec 14, 2019 - Java
Please specify in the the Configuration section of the documentation that Windows users need to remove the SSH entry pertaining to 10.0.0.2 from C:\Users\CurrentUser.ssh\known_hosts every time they update pwnagotchi, since the newly generated keys won't match the one in the known_hosts file.
How to use Watcher / WatcherClient over tcp/ip network?
Watcher seems to ZMQ server, and WatcherClient is ZMQ Client, but there is no API/Interface to config server IP address.
Do I need to implement a class that inherits from WatcherClient?
A platform for reproducible and scalable machine learning and deep learning on kubernetes
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Dec 14, 2019 - Python
Fit interpretable machine learning models. Explain blackbox machine learning.
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Dec 14, 2019 - C++
"scipy.misc.imsave" was removed in scipy version 1.3
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pip install scipy==1.2.1https://docs.scipy.org/doc/scipy/reference/release.1.3.0.html#scipy-interpolate-changes