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a2c

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

apn_utxo_server

autogpt

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

bock

Implementation of BOCK( http://proceedings.mlr.press/v80/oh18a.html ) on BoTorch and GPyTorch.

calogan

Snapshot of mlhep2019 caloGAN code for ecal data generation. Forked from: https://github.com/yandexdataschool/CaloGAN

catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

chaos

clinical-statistics

cocalc

CoCalc: Collaborative Calculation in the Cloud

cocalc-docker

Docker setup for running CoCalc as downloadable software on your own computer

cocalc-kubernetes

Run CoCalc on a Kubernetes cluster

cross_validation_advanced

cudtboost

Gradient boosting library based on CUDT-trees

deep_controller

diff-surrogate

em_showers_generation

em_showers_segmentation

em_showers_separation

ffjord

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

goprobably

A try to write probabilistic package for Golang.

hgcn

Hyperbolic Graph Convolutional Networks in PyTorch.

hse-stat-course-2018

NRU HSE Applied Statistics in Machine Learning course

hse-stats-course-2019

juno_dense_net

kapitsa

lartpc_showers_problem

Repository for baseline solution for LArTPC showers detection problem

miscellaneous

mlhep2019-starterkit

mlhep2019_1_phase

mlhep2019_2_phase