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reinforcement-learning-notes

Notes on Reinforcement Learning

resources

PyMC3 educational resources

restapiintro

reversible-data-hiding-with-deep-learning

Image on Image encryption with autoencoders

river

🍨 Online machine learning in Python

rl-resources

A curated collection of reinforcement learning resources

roc_comparison

The fast version of DeLong's method for computing the covariance of unadjusted AUC.

sagemaker-deployment

Code and associated files for the deploying ML models within AWS SageMaker

sagemaker-graph-fraud-detection

Use Amazon SageMaker and Deep Graph Library (DGL) for Fraud Detection in Networks

saliency

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

scalable_ml_with_kubeflow

scaledyolov4

scikit-fairness

this repo might get accepted

scikit-learn-mooc

scikit-learn-mooc

scikit-learn-tips

:robot::zap: Daily scikit-learn tips

scikit-lego

extra blocks for sklearn pipelines

scipy-2018-sklearn

Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller

sclbl-tutorials

Tutorials, showcases, data values, and FAQ for the scailable platform. See https://www.scailable.net. Create an issue here if you encounter problems or want to request new features.

screenshot-to-code

A neural network that transforms a design mock-up into a static website.

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

seldon_experiments

selectedtopicsoptimization

Course of Selected Topics of Optimization

self-driving-car

The Udacity open source self-driving car project

self-driving-cars

Coursera Open Courses from University of Toronto

self-paced-ensemble

ICDE'20 | A general & effective ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

self-supervised-visual-representation-learning

Repo for self supervised visual representation learning using deep nets

semantic-code-search-using-bert-and-transformer

Building a Semantic code search using BERT and transformer

semantic-segmentation-on-indian-driving-dataset

sentiment-classification-and-language-detection

shap

A game theoretic approach to explain the output of any machine learning model.