Alternatives and similar repositories for blogposts

Users that are interested in blogposts are comparing it to the libraries listed below

• cedrickchee / data-science-notebooks
  Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis …
  ☆92Updated 2 years ago
• mmortazavi / EntityEmbedding-Working_Example
  This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…
  ☆74Updated 6 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated 10 months ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• alessiamarcolini / deep-learning_best-practices
  ☆107Updated 6 years ago
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 4 years ago
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆56Updated 5 years ago
• yashu-seth / pytorch-tabular
  A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.
  ☆67Updated 5 years ago
• dzlab / deepprojects
  A non-ending collection of jupyter notebooks
  ☆40Updated 2 years ago
• Pak911 / fastai-shared-notebooks
  ☆20Updated 5 years ago
• abhishekkrthakur / e01
  ☆38Updated 5 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆66Updated 2 years ago
• fastai / tf-fit
  Fit your tensorflow model using fastai and PyTorch
  ☆91Updated 5 years ago
• devforfu / pytorch_playground
  PyTorch experiments, demos and tutorials
  ☆61Updated 2 years ago
• anhquan0412 / fastai-tabular-text-demo
  fastai tabular and text combination model
  ☆29Updated 5 years ago
• ceshine / quantile-regression-tensorflow
  Implementations of Quantile Regression
  ☆28Updated 6 years ago
• theairbend3r / how-to-train-your-neural-net
  Deep learning research implemented on notebooks using PyTorch.
  ☆64Updated 3 years ago
• EtienneT / fastai-petfinder
  Merging image, tabular and text data in a neural network with fastai
  ☆52Updated 2 years ago
• AakashKumarNain / AugMix_TF2
  TF2.0 port for Augmix paper
  ☆79Updated 5 years ago
• minerva-ml / steppy-toolkit
  Curated set of transformers that make your work with steppy faster and more effective
  ☆22Updated 6 years ago
• justinng1 / berka
  ☆27Updated 7 years ago
• KeremTurgutlu / deeplearning
  ☆160Updated 6 years ago
• Mikata-Project / FilterNet
  A PyTorch ensemble neural network model used for time series analysis.
  ☆59Updated 6 years ago
• yanneta / deep-learning-with-pytorch
  ☆49Updated 4 years ago
• jcatanza / Fastai-Deep-Learning-From-the-Foundations-TWiML-Study-Group
  Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ip…
  ☆26Updated 5 years ago
• kaz-Anova / Competitive_Dai
  The code to generate a top 20 score in the amazon classification challenge using Driverless AI's predictions and feature engineering : In…
  ☆18Updated 7 years ago
• harupy / kernel-profiler
  ☆21Updated 2 years ago
• MaxHalford / kaggle-vsb-power
  13th place solution
  ☆32Updated 2 years ago
• kaggler-tv / kaggler-tv-schedule
  Kaggler TV
  ☆54Updated 5 years ago
• mb4310 / Time-Series
  The purpose of this repo is to implement & analyze various deep learning and hybrid approaches to time-series classification and regressi…
  ☆39Updated 6 years ago