Alternatives and similar repositories for Harassment-Classifier-App

Users that are interested in Harassment-Classifier-App are comparing it to the libraries listed below

• jamesdellinger / fastai_deep_learning_course_part2_v3
  My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)
  ☆39Updated 5 years ago
• imor-de / microsoft_malware_prediction_kaggle_2nd
  This repository contains the winning solution (2nd place) of the Macrosoft Maleware Prediction Challenge on Kaggle.
  ☆34Updated 6 years ago
• radekosmulski / fastai-rails
  ☆25Updated 2 years ago
• ahmedbesbes / Understanding-deep-Convolutional-Neural-Networks-with-a-practical-use-case-in-Tensorflow-and-Keras
  What makes convnets so powerful at image classification?
  ☆46Updated 7 years ago
• daddydrac / Anaconda-CUDA-Accelerated-TensorFlowGPU-Development-Environment
  A reproducible containerized environment with CUDA X, Anaconda, TensorFlow-GPU, Keras-GPU, Dask, and PyCUDA.
  ☆24Updated 3 years ago
• produvia / mapo
  Predict mining prospects and mineral deposits using deep learning and satellite imagery
  ☆58Updated 5 years ago
• fastai / book.fast.ai
  Information for readers of the fastai book
  ☆68Updated 4 years ago
• floleuerer / fastai-docker-deploy
  Deploy fastai models with Docker
  ☆19Updated 4 years ago
• sayakpaul / FloydHub-Anomaly-Detection-Blog
  Contains the thorough experiments made for a FloydHub article on Anomaly Detection
  ☆16Updated 4 years ago
• parulnith / Visualising-Geospatial-data-with-Python
  An overview of the Folium library to visualize Geospatial data
  ☆19Updated 6 years ago
• ageitgey / image_segmentation_examples
  Examples of Image Segmentation with Mask R-CNN from PyImageConf 2018
  ☆45Updated 6 years ago
• garretthoffman / AI_Conf_2019_DL_4_NLP
  Slides and Code Tutorials for AI Conf NY Tutorial on Deep Learning Methodologies for Natural Language Processing
  ☆25Updated 6 years ago
• muellerzr / Practical-Deep-Learning-For-Coders
  Material for my run of Fast.AI
  ☆56Updated 4 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 4 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 5 years ago
• radekosmulski / python_musings
  ☆36Updated 5 years ago
• 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
• arimbr / valohai-fasttext-example
  Production Machine Learning Pipeline for Text Classification with fastText
  ☆32Updated 4 years ago
• bonn0062 / flask_model_deployment
  This is the official repo for the Heartbeat article, "The brilliant beginner's guide to model deployment: a clear and simple roadmap for …
  ☆19Updated 6 years ago
• parulnith / Machine-learning-with-H2O-in-Python
  ☆10Updated 6 years ago
• JAVI897 / ML-Metrics
  Threshold analysis
  ☆12Updated 4 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• lavanyashukla / neural_networks
  ☆50Updated 4 years ago
• shivam5992 / aster
  a python based module (bot) to generate kaggle baseline kernels
  ☆26Updated 6 years ago
• anki1909 / Recruit-Restaurant-Visitor-Forecasting
  6th place solution for Recruit-Restaurant-Visitor-Forecasting
  ☆17Updated 7 years ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 5 years ago
• svishnu88 / TGS-SaltIdentification-Open-Solution-fastai
  ☆43Updated 6 years ago
• aayushmnit / Data-science-presentation
  Collection of presentation of my work on various platforms and meetups
  ☆22Updated 6 years ago
• henripal / maps
  fun with satellite images of cities
  ☆41Updated 6 years ago
• npatta01 / mobile-deep-learning-classifier
  Tutorial on building and deploying a Mobile Deep Learning Classifier for food
  ☆65Updated 2 years ago