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Machine learning

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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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pytorch / pytorch

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Open

Use c10d broadcast_object in Zero

1
kumpera
kumpera commented Jun 13, 2022

🚀 The feature, motivation and pitch

The current implementation of Zero Redundancy optimizer has its own implementation of object broadcasting.

We should replace it with c10d [broadcast_object_list](https://pytorch.org/docs/stable/distributed.html#torch.distributed.broadcast_object_lis

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oncall: distributed module: bootcamp good first issue triaged
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scikit-learn / scikit-learn

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Make all estimators use `_validate_params`

67
jeremiedbb
jeremiedbb commented May 25, 2022

PR #22722 introduced a common method for the validation of the parameters of an estimator. We now need to use it in all estimators.

Please open one PR per estimator or family of estimators (if one inherits from another). The title of the PR should mention which estimator it's dealing with and the description of the PR should begin with towards #23462.

Steps

  • The estimator must define
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Easy good first issue Meta-issue Validation
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julia

JuliaLang / julia

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Collecting an `Iterators.PartitionIterator{String}` should return a vector of `SubStrings` and not a `Vector{Vector{Char}}`

5
BambOoxX
BambOoxX commented Jun 21, 2022

This subject was initially discussed in https://discourse.julialang.org/t/efficient-way-to-split-string-at-specific-index/83115/17 regarding a way to split a string into equal-length substrings.

The solutions discussed involved (for a string composed of 10 blocks of 8 strings)

  • using a comprehension split8(str::String) = [str[i+1:8] for i in 0:8:length(str)]
  • using a comprehension and `S
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good first issue strings iteration
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donnemartin / data-science-ipython-notebooks

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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.

python aws data-science machine-learning caffe theano big-data spark deep-learning hadoop tensorflow numpy scikit-learn keras pandas kaggle scipy matplotlib mapreduce
  • Updated Apr 3, 2022
  • Python

dmlc / xgboost

Star 22.9k
Open

Better support for mypy.

8
trivialfis
trivialfis commented Dec 13, 2020

Currently many more Python projects like dask and optuna are using Python type hints. With the Python package of xgboost gaining more and more features, we should also adopt mypy as a safe guard against some type errors and for better code documentation.

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