twiecki / Whilemymcmcgentlysamples
my blog
Stars: ✭ 232
Labels
Projects that are alternatives of or similar to Whilemymcmcgentlysamples
Dagmm
My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
Stars: ✭ 231 (-0.43%)
Mutual labels: jupyter-notebook
Statannot
add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot
Stars: ✭ 228 (-1.72%)
Mutual labels: jupyter-notebook
Installations mac ubuntu windows
Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).
Stars: ✭ 231 (-0.43%)
Mutual labels: jupyter-notebook
Learn Statistical Learning Method
Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。
Stars: ✭ 228 (-1.72%)
Mutual labels: jupyter-notebook
Mattnet
MAttNet: Modular Attention Network for Referring Expression Comprehension
Stars: ✭ 232 (+0%)
Mutual labels: jupyter-notebook
Neural Network From Scratch
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Stars: ✭ 230 (-0.86%)
Mutual labels: jupyter-notebook
Wassdistance
Approximating Wasserstein distances with PyTorch
Stars: ✭ 229 (-1.29%)
Mutual labels: jupyter-notebook
Mxnet The Straight Dope
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
Stars: ✭ 2,551 (+999.57%)
Mutual labels: jupyter-notebook
Stylegan2 Face Modificator
Simple Encoder, Generator and Face Modificator with StyleGAN2
Stars: ✭ 232 (+0%)
Mutual labels: jupyter-notebook
Awesome Pandas
A collection of resources for pandas (Python) and related subjects.
Stars: ✭ 232 (+0%)
Mutual labels: jupyter-notebook
Imaginary Numbers Are Real
Code To Accompany YouTube Series Imaginary Numbers Are Real
Stars: ✭ 231 (-0.43%)
Mutual labels: jupyter-notebook
Nn
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Stars: ✭ 5,720 (+2365.52%)
Mutual labels: jupyter-notebook
Machine Learning By Andrew Ng In Python
Documenting my python implementation of Andrew Ng's Machine Learning course
Stars: ✭ 231 (-0.43%)
Mutual labels: jupyter-notebook
Pandas Highcharts
Beautiful charting of pandas.DataFrame with Highcharts
Stars: ✭ 233 (+0.43%)
Mutual labels: jupyter-notebook
Datasets
source{d} datasets ("big code") for source code analysis and machine learning on source code
Stars: ✭ 231 (-0.43%)
Mutual labels: jupyter-notebook
Relevant Search Book
Code and Examples for Relevant Search
Stars: ✭ 231 (-0.43%)
Mutual labels: jupyter-notebook
Pythonic Perambulations
This is the source of my Pythonic Perambulations blog. It is built using the Pelican blogging platform.
Requirements
-
Recent version of IPython. The liquid_tags plugin above requires IPython 1.0. Note that previously this could be built with the stand-alone nbconvert package. That no longer works with the recent liquid_tags plugin.
-
Recent version of Pelican. For the static paths (downloads, images, figures, etc.) to appear in the right place, Pelican 3.3+ must be used.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].