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advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

analytics-1.4-apis

Documentation and helpful resources for calling the Analytics 1.4 Apis

awesome-gradient-boosting

A curated list of Gradient Boosting resources for Data Scientists

churn-prediction-with-pyspark-and-keras

A distributed approach for data exploration, neural net training prediction and scoring. The modules are intended to handle large datasets by only operating in batches. The specific problem studied here is related to predicting the churn ratio (i.e., the amount of customers that leave a service) from a telecommunications company.

d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

deep-learning-keras-euroscipy2016

# Deep Learning with Keras

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning-models

A collection of various deep learning architectures, models, and tips

elephas

Distributed Deep learning with Keras & Spark

grokking-deep-learning

this repository accompanies the book "Grokking Deep Learning"

hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

i2l-meshnet_release

Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

made_nlp_course

markov-chain

melting_point_predictor_nn_regression

Project Molten is the precurssor to Project Deliquesces. The goal is to be able to predict the melting point of a given molecule. The model receives integerized SMILES strings labeled with the normalized melting point temperates.

ml-mipt

Machine learning course at MIPT

mlcourse.ai

Open Machine Learning Course https://mlcourse.ai

monk_v1

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

numpy-ml

Machine learning, in numpy

nyc-taxi-fare-predict

Learning to predict taxi fares in the online setting. Intention of the project was to compare the performance of online vs offline machine learning algorithms in terms of accuracy, efficiency and speed.

pyds

python library for easy data science

pyspark_dl_pipeline

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-tutorial-1

Build your neural network easy and fast

regressionusingnn

Use of Neural Network in Regression problem written in Keras API.

sales_forecasting

5 machine learning techniques to forecast product sales

sparse-evolutionary-artificial-neural-networks

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

stepik-dl-nlp

Материалы мини-курса на Stepik "Нейронные сети и обработка текста"