Pinned Repositories
hep_ml
Machine Learning for High Energy Physics.
infiniteboost
InfiniteBoost: building infinite ensembles with gradient descent
boosting_tree_benchmarks
jet_tagging_LHCb
Identification of beauty and charm quark jets at LHCb
LHCb-topo-trigger
LHCb RUN-II topological trigger upgrading
optimize-coordconv
Optimized CoordConv operation for NNs
reweighting_tutorial
Tutorial on BDT reweighter
tagging_LHCb
LHCb tagging algorithms upgrade
tlikhomanenko
About Me
rep
Machine Learning toolbox for Humans
tlikhomanenko's Repositories
tlikhomanenko/tagging_LHCb
LHCb tagging algorithms upgrade
tlikhomanenko/optimize-coordconv
Optimized CoordConv operation for NNs
tlikhomanenko/reweighting_tutorial
Tutorial on BDT reweighter
tlikhomanenko/tlikhomanenko
About Me
tlikhomanenko/jet_tagging_LHCb
Identification of beauty and charm quark jets at LHCb
tlikhomanenko/boosting_tree_benchmarks
tlikhomanenko/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
tlikhomanenko/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
tlikhomanenko/flashlight
A C++ standalone library for machine learning
tlikhomanenko/LHCb-topo-trigger
LHCb RUN-II topological trigger upgrading
tlikhomanenko/LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
tlikhomanenko/MLatGradDays
Machine Learning session on Grad Days at Heidelberg university 2017
tlikhomanenko/MLatImperial2017
Materials for the course of machine learning at Imperial College organized by YSDA
tlikhomanenko/tlikhomanenko.github.io
tlikhomanenko/Transformer-Clinic
Understanding the Difficulty of Training Transformers
tlikhomanenko/wav2letter
Facebook AI Research's Automatic Speech Recognition Toolkit
tlikhomanenko/YSDA_deeplearning17
Yandex SDA classes on deep learning. Version of year 2017
tlikhomanenko/flavours-of-physics-start
Starter kit for "Flavours of Physics" challenge at Kaggle
tlikhomanenko/hep_ml
Machine learning algorithms for high energy physics.
tlikhomanenko/mlx-data
Efficient framework-agnostic data loading
tlikhomanenko/rep
Machine Learning toolbox for Humans
tlikhomanenko/REP_tutorial
Examples of using yandex/rep framework