Skip to content
This repository has been archived by the owner. It is now read-only.

/ hyperlearn Archived

15 Open 3 Closed
15 Open 3 Closed
Author
Filter by author
Label
Filter by label
Use alt + click/return to exclude labels.
Projects
Filter by project
Milestones
Filter by milestone
Assignee
Filter by who’s assigned
Sort
Sort by
Newest Oldest Most commented Least commented Recently updated Least recently updated
Most reactions
👍 👎 😄 🎉 😕 ❤️ 🚀 👀
Install instructions?
#20 opened May 21, 2019 by hoangthienan95
3
[ANNOUNCEMENT] New plans for HyperLearn
#19 opened May 13, 2019 by danielhanchen
Compiling numba code failes on Ubuntu 16.04
#18 opened Mar 27, 2019 by MCDM2018
1
Undefined function in `randomized.linalg.svd`
#17 opened Jan 11, 2019 by themightyoarfish
1
Compiling Numba code fails on 16.04
#16 opened Jan 11, 2019 by themightyoarfish
1
Cannot import hyperlearn subpackages
#15 opened Jan 11, 2019 by themightyoarfish
4
`setup.py` install fails on Ubuntu 16.04
#13 opened Jan 5, 2019 by themightyoarfish
7
GPU RAM consumption?
#11 opened Nov 20, 2018 by farleylai
2
Installation
#8 opened Sep 2, 2018 by SoundBot
@danielhanchen
4
Shocking Confusing Speed / Timing results of Algorithms (Sklearn, Numpy, Scipy, Pytorch, Numba) | Prelim results research
#7 opened Sep 1, 2018 by danielhanchen
@danielhanchen
1
IRLS for Logistic / Softmax Regression + Hessian Matrix enhancement
#5 opened Aug 29, 2018 by danielhanchen
@danielhanchen
Least Absolute Deviation Regression enhancement
#4 opened Aug 29, 2018 by danielhanchen
@danielhanchen
**IMPORTANT: On Contributing to HyperLearn + Note to Contributors good first issue help wanted
#3 opened Aug 29, 2018 by danielhanchen
@danielhanchen
5
Confidence Intervals for Multinomial Logistic Regression / Softmax Reg enhancement help wanted
#2 opened Aug 28, 2018 by danielhanchen
@danielhanchen
Cholskey Decompsition for Linear Regression enhancement nearly-done
#1 opened Aug 28, 2018 by danielhanchen
@danielhanchen
1
ProTip! Adding no:label will show everything without a label.
You can’t perform that action at this time.