oseledets / Nla2015
The main github repository for NLA2015 course
Stars: ✭ 12
Labels
Projects that are alternatives of or similar to Nla2015
Machine Learning
Machine Learning Projects using R, Mahout, Python and NLP
Stars: ✭ 11 (-8.33%)
Mutual labels: jupyter-notebook
Behavioral Cloning Hacktorial
All the files needed for the Terrapin Hackers Hacktorial on Behavioral Cloning for Self Driving Cars.
Stars: ✭ 12 (+0%)
Mutual labels: jupyter-notebook
Faceid beta
An implementation of iPhone X's FaceID using face embeddings and siamese networks on RGBD images.
Stars: ✭ 867 (+7125%)
Mutual labels: jupyter-notebook
Show Attend And Tell
TensorFlow Implementation of "Show, Attend and Tell"
Stars: ✭ 869 (+7141.67%)
Mutual labels: jupyter-notebook
Neural Image Captioning
Implementation of Neural Image Captioning model using Keras with Theano backend
Stars: ✭ 12 (+0%)
Mutual labels: jupyter-notebook
Osmnx Examples
Usage examples, demos, and tutorials for OSMnx.
Stars: ✭ 863 (+7091.67%)
Mutual labels: jupyter-notebook
Peyotl
python library for interacting with Open Tree of Life resources
Stars: ✭ 11 (-8.33%)
Mutual labels: jupyter-notebook
Coursera Ml Andrewng
use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
Stars: ✭ 869 (+7141.67%)
Mutual labels: jupyter-notebook
Atari
1-step Q Learning from the paper "Asynchronous Methods for Deep Reinforcement Learning"
Stars: ✭ 12 (+0%)
Mutual labels: jupyter-notebook
D Script
Writer Identification of Handwritten Documents
Stars: ✭ 11 (-8.33%)
Mutual labels: jupyter-notebook
Sc2ai
Integrated Tensorforce and OpenAI Gym to train SC II game agents.
Stars: ✭ 12 (+0%)
Mutual labels: jupyter-notebook
Mozfest15 Training
Notebooks for Jupyter training session at Mozfest 2015
Stars: ✭ 12 (+0%)
Mutual labels: jupyter-notebook
Traffic Sign Classifier
Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier
Stars: ✭ 12 (+0%)
Mutual labels: jupyter-notebook
This project does not contain a readme.
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].