JeqTech

JeqTech's Stars

• nycdatasci/bootcamp006_project

  Bootcamp 6 Student Project Presentation

  Language:HTML4244

• rafaelhenrique/python_quickly_coding

  Small Python scripts coded quickly for future reference

  Language:Python6

• elena-sharova/HiddenMarkovModel

  Example implementation of a discrete 1st order Hidden Markov model with test

  Language:Python3521

• mhallsmoore/qstrader

  QuantStart.com - QSTrader backtesting simulation engine.

  Language:Python3.1k873

• Lasagne/Lasagne

  Lightweight library to build and train neural networks in Theano

  Language:Python3.9k941

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook21k6.1k

• tudoanh/python-facebook-bot

  Get facebook events from location with Python 3

  Language:Python3915

• andrewssobral/vehicle_detection_haarcascades

  Vehicle Detection by Haar Cascades with OpenCV

  Language:C++546519

• MicrocontrollersAndMore/OpenCV_3_License_Plate_Recognition_Python

  Language:Python529314

• matthewearl/deep-anpr

  Using neural networks to build an automatic number plate recognition system

  Language:Python1.9k696

• abdulfatir/pyANPD

  Automatic Number Plate Detection for Python using OpenCV

  Language:Python6635

• WeldFire/prepare_dataset_challenge

  This is the code for the "best way to prepare a dataset easily" challenge by @Sirajology on Youtube

  Language:Python244

• llSourcell/visualize_dataset_demo

  This is the code for the "How to Best Visualize a Dataset Easily" Siraj Raval on Youtube

  Language:Python5954

• kudchikarsk/happiness-prediction

  Sentimental analysis using keras in python

  Language:Jupyter Notebook2911