Machine learning
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
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Describe the issue linked to the documentation
https://scikit-learn.org/stable/developers/contributing.html#guidelines-for-writing-documentation specifies how to write parameters with a shape attribute in a docstring, e.g.
array_parameter : {array-like, sparse matrix, dataframe} of shape (n_samples, n_features) or (n_samples,)
This parameter accepts data in either of the mentio
WARNING: /data/users/ezyang/pytorch-tmp/BUILD.bazel:580:1: in hdrs attribute of cc_library rule //:aten_headers: Artifact
'bazel-out/k8-fastbuild/bin/aten/src/ATen/Config.h' is duplicated (through '//:aten/src/ATen/Config.h' and '//:aten_src_AT
en_config'). Since this rule was created by the macro 'cc_library', the error might have been caused by the macro implemen
tation
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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Aug 17, 2020 - Jupyter Notebook
Tesseract Open Source OCR Engine (main repository)
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Aug 24, 2020 - C++
The world's simplest facial recognition api for Python and the command line
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Aug 20, 2020 - Python
Deepfakes Software For All
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Aug 25, 2020 - Python
Caffe: a fast open framework for deep learning.
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Aug 4, 2020 - C++
100 Days of ML Coding
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Jul 15, 2020
I just noticed the Random stdlib has an UnsafeView type for filling arrays. With the new layout optimizations, this should no longer be necessary. We should try using the normal SubArray type for this. If it's still too slow/complex, then at least the type can be made safe by holding the underlying array directly instead of a Ptr.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
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Aug 20, 2020
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Jul 3, 2020 - Jupyter Notebook
A complete daily plan for studying to become a machine learning engineer.
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Jun 12, 2020
The most cited deep learning papers
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Dec 25, 2019 - TeX
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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Aug 21, 2020 - Jupyter Notebook
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
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Aug 25, 2020 - C++
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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Jul 24, 2020 - Python
The fastai deep learning library, plus lessons and tutorials
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Aug 25, 2020 - Jupyter Notebook
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
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Aug 13, 2020 - Python
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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Aug 21, 2020 - C++
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Aug 25, 2020 - Python
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
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May 12, 2020 - C++
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
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Aug 17, 2020 - Python
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
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Aug 24, 2020 - Python
100-Days-Of-ML-Code中文版
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Feb 18, 2020 - Jupyter Notebook
A curated list of awesome Deep Learning tutorials, projects and communities.
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Aug 8, 2020
List of Computer Science courses with video lectures.
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Jul 15, 2020
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
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Jul 18, 2020 - C#
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System information
example script provided in TensorFlow): Yes