Frightera / Medium_Notebooks_English

Related projects ⓘ

Alternatives and complementary repositories for Medium_Notebooks_English

• akashmondal1810 / UncertaintyEstimation
  Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods
  ☆23Updated 3 years ago
• UmarIgan / Machine-Learning
  A set of jupyter notebooks
  ☆23Updated 2 months ago
• CoteDave / blog
  ☆59Updated last year
• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆34Updated 9 months ago
• deryckt / TIRE
  Autoencoder-based Change Point Detection in Time Series Data using a Time-Invariant Representation
  ☆36Updated 3 years ago
• TannerGilbert / Model-Interpretation
  Overview of different model interpretability libraries.
  ☆46Updated 2 years ago
• kartikgill / Autoencoders
  ☆11Updated 3 years ago
• ashishpatel26 / MLflow_End_to_End_Example
  MLflow is Open source platform for the machine learning lifecycle so here you can learn MLflow End to End Example with Prediction.
  ☆13Updated 2 years ago
• suvoooo / Learn-TensorFlow
  Learning Tensorflow Step by Step:: Concepts, Examples & Applications
  ☆56Updated 3 months ago
• NextBrain-ai / nbsynthetic
  nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets
  ☆63Updated last year
• lschmiddey / deep_tabular_augmentation
  ☆20Updated 7 months ago
• vaexio / dash-predictive-maintenance-app
  Dash web app showing when an engine is expected to fail powered by vaex and tf/keras.
  ☆16Updated 3 years ago
• JanderHungrige / PumpSensor
  ☆15Updated 3 years ago
• h3ik0th / ES_energy_Transformer
  Python Darts deep forecasting models
  ☆32Updated 2 years ago
• reoneo97 / vae-playground
  Implementation of Variational Autoencoders using Pytorch Lightning
  ☆33Updated last year
• mabalam / feature_selection
  ☆26Updated 2 years ago
• tvhahn / ml-tool-wear
  Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as …
  ☆63Updated 3 years ago
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆71Updated last year
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆19Updated 2 years ago
• ashishpatel26 / tcn-keras-Examples
  This repository contains example of keras-tcn on easy way.
  ☆55Updated 4 years ago
• ajayarunachalam / msda
  Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised dee…
  ☆127Updated 3 years ago
• MarkusRosen / pytorch_multi_input_example
  Multi-Input Deep Neural Networks with PyTorch-Lightning - Combine Image and Tabular Data
  ☆66Updated 11 months ago
• Pushkar-v / Generating-Synthetic-Data-using-GANs
  Generating Tabular Synthetic Data using State of the Art GAN architecture
  ☆76Updated 4 years ago
• michaelhoarau / smarter-anomaly-detection
  A series of notebook showing how one can post-process anomaly detection models to derive more insights
  ☆11Updated 2 years ago
• AmirAli5 / Deep-Learning
  In this repo, all about Deep Learning and I covered both Supervised and Unsupervised Learning Techniques with Practical Implementation. …
  ☆41Updated 2 years ago
• eugeniaring / Medium-Articles
  Repository with all my blog posts on data science and machine learning learning topics
  ☆78Updated 6 months ago
• France1 / predictive-maintenance-pytorch
  Deep Learning applied to predictive maintenance use cases
  ☆33Updated 4 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆39Updated 5 years ago
• SolClover / Art044_NN_LSTM
  Public repository containing materials used in LSTM article
  ☆17Updated 2 years ago
• pyladiesams / conformal-prediction-jan2024
  An introduction to conformal prediction
  ☆19Updated 9 months ago