| donnemartin/data-science-ipython-notebooks |
25,668 |
|
0 |
0 |
over 2 years ago |
0 |
|
34 |
other |
Python |
| 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. |
| kailashahirwar/cheatsheets-ai |
13,281 |
|
0 |
0 |
over 6 years ago |
0 |
|
6 |
mit |
|
| Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5 |
| oreilly-japan/deep-learning-from-scratch-2 |
967 |
|
0 |
0 |
about 2 years ago |
0 |
|
8 |
mit |
Python |
| 『ゼロから作る Deep Learning ❷』(O'Reilly Japan, 2018) |
| paulu/deepfeatinterp |
227 |
|
0 |
0 |
over 8 years ago |
0 |
|
8 |
gpl-3.0 |
Python |
| Deep Feature Interpolation (CVPR 2017) |
| rickiepark/introduction_to_ml_with_python |
198 |
|
0 |
0 |
about 5 years ago |
0 |
|
|
|
Jupyter Notebook |
| 도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다. |
| kylemcdonald/ml-notebook |
164 |
|
0 |
0 |
about 9 years ago |
0 |
|
1 |
|
Shell |
| Dockerfile for multiple machine learning tools. |
| SuperKogito/pydiogment |
68 |
|
0 |
0 |
almost 4 years ago |
4 |
March 08, 2020 |
11 |
bsd-3-clause |
Python |
| :mega: Python library for audio augmentation |
| benedekrozemberczki/GraRep |
54 |
|
0 |
0 |
over 3 years ago |
0 |
|
1 |
gpl-3.0 |
Python |
| A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015). |
| iamaaditya/pixel-deflection |
54 |
|
0 |
0 |
almost 8 years ago |
0 |
|
3 |
|
Jupyter Notebook |
| Deflecting Adversarial Attacks with Pixel Deflection |
| chengfx/neural-networks-and-deep-learning-for-python3 |
30 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
|
Python |
| Code samples are modified for Michael Nielsen's book Neural Networks and Deep Learning by python 3.x |
