mkliment's starred repositories

python-patterns

A collection of design patterns/idioms in Python

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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.

Language:PythonLicense:MITStargazers:22398Issues:1282Issues:100

magenta

Magenta: Music and Art Generation with Machine Intelligence

Language:PythonLicense:Apache-2.0Stargazers:18988Issues:755Issues:955

mlflow

Open source platform for the machine learning lifecycle

Language:PythonLicense:Apache-2.0Stargazers:17699Issues:290Issues:3644

nlp_course

YSDA course in Natural Language Processing

Language:Jupyter NotebookLicense:MITStargazers:9517Issues:365Issues:46

dbt-core

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

Language:PythonLicense:Apache-2.0Stargazers:9124Issues:137Issues:5178

awesome-scala

A community driven list of useful Scala libraries, frameworks and software.

Language:PythonLicense:Apache-2.0Stargazers:8965Issues:602Issues:75

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

Language:PythonLicense:NOASSERTIONStargazers:8066Issues:293Issues:905

deep-learning-models

Keras code and weights files for popular deep learning models.

Language:PythonLicense:MITStargazers:7288Issues:300Issues:107

Practical_RL

A course in reinforcement learning in the wild

Language:Jupyter NotebookLicense:UnlicenseStargazers:5788Issues:210Issues:186

awesome-dataviz

:chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

keras-attention

Keras Attention Layer (Luong and Bahdanau scores).

Language:PythonLicense:Apache-2.0Stargazers:2804Issues:78Issues:56

awesome-dbt

A curated list of awesome dbt resources

telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:989Issues:39Issues:58

write-rnn-tensorflow

Generative Handwriting using LSTM Mixture Density Network with TensorFlow

astronomer

Helm Charts for the Astronomer Platform, Apache Airflow as a Service on Kubernetes

Language:PythonLicense:NOASSERTIONStargazers:455Issues:46Issues:278

bahir

Mirror of Apache Bahir

Language:ScalaLicense:Apache-2.0Stargazers:335Issues:31Issues:0

tensorflow-multi-dimensional-lstm

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:155Issues:12Issues:5

keras-seq2seq-example

Toy Keras implementation of a seq2seq model with examples.

advanced-deep-learning-keras

File repository for the course [Advanced Deep Learning with Keras]. Packt Publishing.

Language:Jupyter NotebookStargazers:28Issues:5Issues:0

dbt-graph-theory

A dbt package designed to help SQL based analysis of graphs

Language:ShellLicense:Apache-2.0Stargazers:20Issues:2Issues:16

wavenet

A general TensorFlow implementation of the Wavenet network to be used to model long term sequences with less trainable parameters.

Language:PythonLicense:MITStargazers:18Issues:6Issues:0

py-kaldi-asr

Some simple wrappers around kaldi-asr intended to make using kaldi's (online) decoders as convenient as possible.

Language:C++License:Apache-2.0Stargazers:8Issues:3Issues:0

Technical-Analysis

Technical Analysis Tool based on TA Lib

Language:CStargazers:8Issues:2Issues:0

neural-probability-dist-sampler

Training a network to sample from any probability distributions such as exponential distribution.

Language:PythonStargazers:4Issues:1Issues:0
Language:ShellLicense:Apache-2.0Stargazers:3Issues:0Issues:0

CallDetailRecordAnalysis

Find out top 10 customers facing frequent call drops using Spark & Scala

Language:ScalaStargazers:1Issues:1Issues:0