dmkovalev

dmkovalev's Stars

• awesome-selfhosted/awesome-selfhosted

  A list of Free Software network services and web applications which can be hosted on your own servers

  195k2.5k8049.5k

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++30.5k4802.5k3.6k

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  15.9k601173k

• bayesian-optimization/BayesianOptimization

  A Python implementation of global optimization with gaussian processes.

  Language:Python7.8k1293601.5k

• uber/causalml

  Uplift modeling and causal inference with machine learning algorithms

  Language:Python5k84393767

• locuslab/TCN

  Sequence modeling benchmarks and temporal convolutional networks

  Language:Python4.1k9474874

• udacity/deep-learning

  Repo for the Deep Learning Nanodegree Foundations program.

  Language:Jupyter Notebook4k302814.5k

• rguo12/awesome-causality-algorithms

  An index of algorithms for learning causality with data

  2.9k1089441

• scikit-optimize/scikit-optimize

  Sequential model-based optimization with a `scipy.optimize` interface

  Language:Python2.7k63647547

• MaxBenChrist/awesome_time_series_in_python

  This curated list contains python packages for time series analysis

  2.1k8315368

• AndreyAkinshin/Russian-Phd-LaTeX-Dissertation-Template

  LaTeX-template for russian Phd thesis

  Language:TeX1.3k74205667

• xinychen/transdim

  Machine learning for transportation data imputation and prediction.

  Language:Jupyter Notebook1.2k3728297

• akelleh/causality

  Tools for causal analysis

  Language:Python1.1k5627128

• airspeed-velocity/asv

  Airspeed Velocity: A simple Python benchmarking tool with web-based reporting

  Language:Python86221606180

• MilesCranmer/symbolic_deep_learning

  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"

  Language:Python717287132

• JEddy92/TimeSeries_Seq2Seq

  This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

  Language:Jupyter Notebook6042212239

• microsoft/graspologic

  Python package for graph statistics

  Language:Python52718526128

• insitro/redun

  Yet another redundant workflow engine

  Language:Python513155443

• DataForScience/Causality

  Language:Jupyter Notebook464310100

• mrtzh/whynot

  A Python sandbox for decision making in dynamics

  Language:Python39447744

• kristpapadopoulos/seriesnet

  Time series prediction using dilated causal convolutional neural nets (temporal CNN)

  Language:Python232111064

• fyrestone/pycode_similar

  A simple plagiarism detection tool for python code

  Language:Python17610938

• BoyuanChen/neural-state-variables

  Language:Python16510433

• tum-pbs/Solver-in-the-Loop

  Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

  Language:Python1467229

• joaopedroso/scipbook

  Language:Python677827

• arcolinuxd/arco-xfce

  All scripts necessary to have an awesome deskop experience on ArcoLinux or vanilla Arch Linux installation

  Language:Shell5612121

• amirhk/recourse

  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831

  Language:Python32515

• pddasig/Machine-Learning-Competition-2021

  Language:Jupyter Notebook317520

• greenpau/Machine-Learning-and-Artificial-Intelligence

  Resources to learn more about Machine Learning and Artificial Intelligence

  274013

• abrvkh/WaveNet_simple

  A simple implementation of the WaveNet model for time series forecasting

  Language:Python253411