udacity / Aind Constraint_satisfaction
Licence: other
Constraint Satisfaction Problem lab to solve the N-Queens problem
Stars: ✭ 19
Labels
Projects that are alternatives of or similar to Aind Constraint satisfaction
Tensorflow Onnx
Convert TensorFlow models to ONNX
Stars: ✭ 900 (+4636.84%)
Mutual labels: jupyter-notebook
Batch 5 transplant
Projet de prédiction de transplantation pulmonaire en partenariat avec l'hôpital Foch
Stars: ✭ 19 (+0%)
Mutual labels: jupyter-notebook
Presence
The code for Presence - a kinetic sculpture that detects a viewer's gaze in real-time using a neural network and moves in response to the gaze
Stars: ✭ 19 (+0%)
Mutual labels: jupyter-notebook
Curso data science na pratica
Material de apoio do curso "Data Science na Prática" - Sigmoidal
Stars: ✭ 19 (+0%)
Mutual labels: jupyter-notebook
Deep Visual Attention Prediction
Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.
Stars: ✭ 19 (+0%)
Mutual labels: jupyter-notebook
Sqlite Tutorial
A Jupyter notebook covering SQL basics with SQLite
Stars: ✭ 18 (-5.26%)
Mutual labels: jupyter-notebook
Deep Embedded Memory Networks
https://arxiv.org/abs/1707.00836
Stars: ✭ 19 (+0%)
Mutual labels: jupyter-notebook
Rapgenerator gpt2
🎵Using GPT2-Chinese to generate rap lyrics🎵
Stars: ✭ 19 (+0%)
Mutual labels: jupyter-notebook
Echo State Networks
Echo State Networks with TensorFlow
Stars: ✭ 19 (+0%)
Mutual labels: jupyter-notebook
Bayesian Neural Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Stars: ✭ 900 (+4636.84%)
Mutual labels: jupyter-notebook
Cat Dog Cnn Classifier
This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.
Stars: ✭ 19 (+0%)
Mutual labels: jupyter-notebook
Open source trading talk
How to make a trading strategy with open source Python tools
Stars: ✭ 19 (+0%)
Mutual labels: jupyter-notebook
Computer Vision Action
computer vision learning, include python machine learning action; computer vision based on deep learning ;coursera deeplearning.ai and other cv learning materials collect ...
Stars: ✭ 19 (+0%)
Mutual labels: jupyter-notebook
Gfc
Documentation, data, and some source code for challenge participants.
Stars: ✭ 19 (+0%)
Mutual labels: jupyter-notebook
In this exercise you will explore Constraint Satisfaction Problems by implementing the N-Queens problem using symbolic constraints in a Jupyter notebook, and solving it using the Backtracking Search algorithm from AIMA.
To launch the notebook, run the following command from a terminal with anaconda3 installed and on the application path:
jupyter notebook AIND-Constraint_Satisfaction.ipynb
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].