| dmlc/minpy |
1,123 |
|
0 |
0 |
about 8 years ago |
36 |
May 13, 2017 |
28 |
other |
Python |
| NumPy interface with mixed backend execution |
| philipperemy/keract |
1,030 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
mit |
Python |
| Layers Outputs and Gradients in Keras. Made easy. |
| krocki/dnc |
386 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
|
Python |
| Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy |
| jorgenkg/python-neural-network |
278 |
|
1 |
0 |
about 6 years ago |
4 |
July 29, 2016 |
5 |
bsd-2-clause |
Python |
| This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scaled conjugate gradient learning. The network has been developed with PYPY in mind. |
| pierreablin/autoptim |
91 |
|
0 |
0 |
about 7 years ago |
0 |
|
2 |
mit |
Python |
| Automatic differentiation + optimization |
| RoboticsClubIITJ/ML-DL-implementation |
41 |
|
0 |
0 |
over 3 years ago |
1 |
April 05, 2021 |
27 |
bsd-3-clause |
Python |
| An implementation of ML and DL algorithms from scratch in python using nothing but NumPy and Matplotlib. |
| philippbauch/simple-linear-regression-notebook |
35 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Simple demo of linear regression built with numpy in a jupyter notebook. |
| ahmedfgad/HOGNumPy |
29 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
|
Python |
| Histogram of oriented gradients (HOG) Python implementation using NumPy. |
| sarvasvkulpati/LinearRegression |
24 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
|
Python |
| An implementation of Linear Regression from scratch in python 📈 |
| JaeDukSeo/Only_Numpy_Basic |
23 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
mit |
Python |
| This repository contains code for my only numpy basic. |
