Alternatives and similar repositories for neural-bankruptcy

Users that are interested in neural-bankruptcy are comparing it to the libraries listed below

• jiexunsee / Neural-Network-with-Python
  A neural network with 3 layers made with just numpy as dependency
  ☆26Updated 7 years ago
• andpol5 / credit-classifier
  German Credit Classifier
  ☆23Updated 8 years ago
• cloudacademy / fraud-detection
  Fraud Detection model build with Python (numpy, scipy, pandas, scikit-learn), based on anonymized credit card transactions. The dataset i…
  ☆60Updated 2 years ago
• FraPochetti / SP-500IndexPythonForecast
  Pythonic S&P 500 Index Prediction (Portfolio Project at DSR)
  ☆26Updated 10 years ago
• ShubhangDesai / tf-lstm-stock-market
  LSTM-based recurrent neural network which trains RNN on 30-day span of stock data, then accepts 30-day span to make prediction for the 31…
  ☆9Updated 7 years ago
• tmkilian / GA_capstone-Housing_prices
  My machine learning capstone projects that predicts rental rates and property values in San Francisco using two datasets (Airbnb and SF A…
  ☆31Updated 6 years ago
• deeppavlov / NLPCourseBot
  Telegram-bot for NLP/RL courses
  ☆11Updated 2 years ago
• avannaldas / ML-End-to-End
  Bare minimum End-to-End ML application with Flask REST API Prediction Service
  ☆11Updated 4 years ago
• priya-dwivedi / Miscellaneous_Projects
  ☆10Updated 6 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆20Updated 8 years ago
• withtwist / medical-ner
  ☆14Updated 8 years ago
• jeffwong / kaggle-energy
  Global Energy Forecasting Competition 2012 - Load Forecasting
  ☆18Updated 12 years ago
• daines-analytics / tabular-data-projects
  Collection of ML scripts for tabular datasets
  ☆14Updated 2 years ago
• songgc / loan-default-prediction
  Loan Default Prediction at Kaggle
  ☆25Updated 10 years ago
• rishiabhishek / document-image-classification
  Document Image Classification
  ☆11Updated 7 years ago
• OliverEdholm / Stock-Market-Probabilities-Deep-Learning
  Tries to predict if a stock will rise or fall with a certain percentage through giving probabilities of what events it thinks will happen…
  ☆24Updated 7 years ago
• werowe / mist_preventive_maintenance_ml
  This uses HydroSphere to expose a Python machine learning preventive maintenance model for truck brake maintenance
  ☆15Updated 4 years ago
• thismlguy / AJ_ML_Library
  This library is a wrapper for sklearn and works with data stored using Pandas module.
  ☆17Updated 9 years ago
• peterwilliams97 / nlp-class
  Notes from Stanford NLP class
  ☆24Updated 12 years ago
• chaitjo / regression-stock-prediction
  Predicting Google’s stock price using regression
  ☆62Updated 6 years ago
• ThoughtWorksInc / tf-image-interpreter
  Object detection and text spotting from images of any size. Based on TensorFlow.
  ☆10Updated 8 years ago
• Atul-Anand-Jha / Time-Series-Forecast-NSEPy
  Redcarpetup.com assignment Intern Task
  ☆14Updated 5 years ago
• omkar-dsd / mini_projects
  This repo contains collection of various mini projects.
  ☆13Updated 6 years ago
• PiSimo / DeepChart
  Generate images of neural network achitectures.
  ☆19Updated 7 years ago
• ellisvalentiner / credit-card-fraud
  Analysis of credit card fraud data
  ☆65Updated 2 years ago
• MasazI / stock_reinforcementlearning_tensorflow
  an implementation of reinforcement learning problem, stock prices
  ☆10Updated 8 years ago
• akshaybhatia10 / Deep-Learning-Mini-Projects
  Repo for Deep Learning Projects in NLP, GANs, Computer Vision
  ☆19Updated 7 years ago
• burness / ppd_code
  ☆10Updated 9 years ago
• KirkHadley / SectorRotation
  RF + GBM + ARIMA/NN Hybrid ensemble for predicting 6-month returns for the 9 sector ETFs plus IYZ
  ☆24Updated 11 years ago
• jiteshjha / Frequent-item-set-mining
  Apriori algorithm implementation
  ☆14Updated 7 years ago