petroffss's repositories
BuildingMachineLearningSystemsWithPython
Source Code for the book Building Machine Learning Systems with Python
pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
recurrentshop
Framework for building complex recurrent neural networks with Keras
data-science-ipython-notebooks
Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
natasha
Rule-based named entity recognition library for russian language
ml_trainings_course
Материалы тренировок по МЛ
python-poloniex
Poloniex API wrapper for Python 2.7 & 3
kerasify
Small library for running Keras models from a C++ application
openface
Face recognition with deep neural networks.
PikabuStatistics
Toy project for simple tags statistic analysis of pikabu.ru
Notebooks-1
This is where all of the IPython Notebooks will be kept from the blog
LSTM-Human-Activity-Recognition
Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).
Image-Super-Resolution
Implementation of Super Resolution CNN in Keras.
create_tfrecords
A simpler way of preparing large-scale image dataset by generalizing functions from TensorFlow-slim
deep_learning
Deep Learning Resources and Tutorials using Keras and Lasagne
sact
Spatially Adaptive Computation Time for Residual Networks
ImageFlow
A simple wrapper of TensorFlow for Converting, Importing (and Soon, Training) Images in tensorflow.
ml_hacks
Приёмы в машинном обучении
kaspersky_hackathon
https://events.kaspersky.com/hackathon/
Tensorflow-101
TensorFlow Tutorials
pandas_tutorial
Pandas tutorial for SciPy2015 and SciPy2016 conference
pix2pix-tensorflow-1
TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
visualize_dataset_demo
This is the code for the "How to Best Visualize a Dataset Easily" Siraj Raval on Youtube
adaptive-softmax
Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)
notebooks
my notebooks
Pokemon-Type-Classification-Challenge
Code for the Pokemon Type Classification Challenge by @Sirajology