numpy

@VitalyFedyunin

🐛 Bug

As discussed here, calling kthvalue like torch.kthvalue(a, k, out=(a, indices)) produces a buffer overflow. Natalia suggested disallowing outputs that overlap with the input.

cc @VitalyFedyunin

@mattip

Improve navigation of the I/O how-to by prepending a decision tree/flowchart using an image or graphviz, as suggested by @mattip.

PR #6447 adds a public API to get the maximum number of registers per thread (numba.cuda.Dispatcher.get_regs_per_thread()). There are other attributes that might be nice to provide - shared memory per block, local memory per thread, const memory usage, maximum block size.

These are all available in the FuncAttr named tuple: https://github.com/numba/numba/blob/master/numba/cuda/cudadrv/drive

The current version of the HANS dataset is missing the additional information provided for each example, including the sentence parses, heuristic and subcase.

Is there a way to train a bidirectional RNN (like LSTM or GRU) on trax nowadays?

What's wrong?

Description

We should use the official mxnet batchify functions to implement our own batchify functions. However, since we'd like to later support other frameworks, we should still keep our own batchify.py. We can change it to call MXNet implementations.

MXNet batchify: https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/gluon/data/batchify.py
GluonNLP batchify: https://gi

Support Series.median()

MCVE Code Sample

# Your code here
import numpy as np
import xarray as xr

data = np.zeros((10, 4))
example_xr = xr.DataArray(data, coords=[range(10), ["

Nov	DEC	Jan
	03
2019	2020	2021

numpy

Here are 6,981 public repositories matching this topic...

pytorch / pytorch

🐛 Bug

jakevdp / PythonDataScienceHandbook

donnemartin / data-science-ipython-notebooks

numpy / numpy

kailashahirwar / cheatsheets-ai

MorvanZhou / tutorials

dask / dask

fastai / numerical-linear-algebra

Yorko / mlcourse.ai

bbfamily / abu

lanpa / tensorboardX

rougier / numpy-100

numba / numba

lijin-THU / notes-python

huggingface / datasets

chainer / chainer

google / trax

cupy / cupy

iamseancheney / python_for_data_analysis_2nd_chinese_version

tangyudi / Ai-Learn

biolab / orange3

dmlc / gluon-nlp

Description

xtensor-stack / xtensor

mars-project / mars

pydata / xarray

MCVE Code Sample

arogozhnikov / einops

yoyoyo-yo / Gasyori100knock

juliangaal / python-cheat-sheet

tirthajyoti / Machine-Learning-with-Python

quantopian / alphalens

Improve this page

Add this topic to your repo

Essential cookies

Always active

Analytics cookies