Alternatives and similar repositories for generative-deep-learning

Users that are interested in generative-deep-learning are comparing it to the libraries listed below

• eugeneyan / awesome-mlops
  A curated list of references for MLOps
  ☆13Updated 4 years ago
• ChristofHenkel / toxic_comments
  ☆11Updated 7 years ago
• joseprsm / rexify
  🦖 Streamlined Recommender Systems with TensorFlow and KubeFlow
  ☆17Updated 2 years ago
• omarsar / nlp_with_tensorflow
  NLP tutorials I have written using TensorFlow
  ☆12Updated 6 years ago
• ariG23498 / RNN_Viz
  Sequence models in Numpy
  ☆25Updated 4 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 4 years ago
• bespoke-inc / bespoke-public-talks
  Code samples and other materials for presentations by Bespoke tech team members
  ☆82Updated 3 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 6 years ago
• tathey1 / graspy
  Python package for graph statistics
  ☆9Updated 4 years ago
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 6 years ago
• PiotrTa / Mining-Massive-Datasets
  Data mining algorithms with Python
  ☆10Updated 6 years ago
• jeongyoonlee / data-science-career-development
  resources for career development in data science
  ☆16Updated 5 years ago
• sayakpaul / FloydHub-Anomaly-Detection-Blog
  Contains the thorough experiments made for a FloydHub article on Anomaly Detection
  ☆16Updated 4 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 3 years ago
• radekosmulski / fastai-rails
  ☆25Updated 2 years ago
• avinregmi / Panini_Tutorial
  Deploy Pytorch models to production via panini
  ☆10Updated 6 years ago
• fidelity / classitransformers
  A abstract text classification library using language models. Build your fine-tuned text classifier in 5 steps.
  ☆10Updated 4 years ago
• brainy749 / CreditRiskPaper
  Codes for replication and implementation of techniques in our credit risk article
  ☆34Updated 6 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
• nhaselow / Audio-Classification-Using-Convolutional-Neural-Networks
  Stats 479 Project
  ☆22Updated 6 years ago
• rishiabhishek / document-image-classification
  Document Image Classification
  ☆11Updated 7 years ago
• davidrosenberg / ml2018
  DSGA-1003: Machine Learning and Computational Statistics, Spring 2018
  ☆26Updated 2 years ago
• joosthub / pytorch-nlp-tutorial-ny2019
  Deep Learning and Natural Language Processing using PyTorch (O'Reilly AI - NYC, 2019)
  ☆11Updated 6 years ago
• trydoff / ML-Portal-FastAPI
  A complete end-to-end machine learning portal that covers processes starting from model training to the model predicting results using Fa…
  ☆43Updated 3 years ago
• adeshpande3 / NLP-Stuff
  Programs with word vectors, RNN, NLP stuff, etc
  ☆18Updated 8 years ago
• Yorko / jupyter_demonstrations
  Random jupyter notebooks on data analysis and machine learning
  ☆15Updated 6 years ago
• rupakc / Kaggle-Compendium
  Baseline Python Scripts for Popular Kaggle Competitions
  ☆17Updated 2 years ago
• JohnSnowLabs / spark-nlp-streamlit
  Spark NLP for Streamlit
  ☆15Updated 3 years ago
• HackerEarth-Challenges / Future_Datathon
  This is a machine learning challenge conducted by C&D Labs and Future Group in association with HackerEarth.
  ☆10Updated 7 years ago
• SudalaiRajkumar / h2o-wave-apps
  A github repo for H2O wave applications
  ☆15Updated 4 years ago