Sasha Savsunenko's repositories
time-dependant-rnn-embeddings-keras
Implementation an RNN time-embedding layer from "Time-Dependent Representation for Neural Event Sequence Prediction" paper
workshop-3d-neural
Workshop for datascience.ua on "3D meets neural networks"
burrow-wheelers-golang
Implementation and performance testing of Burrow Wheelers transform in Golang
gym-taxi-v2-v3-solution
Solution for OpenAI Gym Taxi-v2 and Taxi-v3 using Sarsa Max and Expectation Sarsa + hyperparameter tuning with HyperOpt
progressive_gan_mxnet
Implementation of progressive GAN in MXNET with a twist and wikiart
lateral_research
Playground to implement lateral connections and top-down data flow for conventional neural networks in Pytorch
TD3-reacher
Implementation of TD3 reinforcement learning algorithm to solve Reacher problem from Unity-ML
telegram_data_clustering_2019
Telegram contest on unsupervised news clustering
binancepredict
My code to use ML for cryptotrading
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
DSU_workshop_evolution
Repo for DSU workshop 2019, Evolutionary algorithms
MATD3--reinforcement-learning
Solution for Tennis environment with pseudo-multiagent TD3 RL algorythm
my-blog
My blog
nvdtools
A set of tools to work with the feeds (vulnerabilities, CPE dictionary etc.) distributed by National Vulnerability Database (NVD)
reinforce-with-ppo-pingpong
Implementation of REINFORCE and Proximal-Policy-Optimization to solve ping-pong from pixels
RL-banana-world
Solution for Unity-ML Banana world
SetReplace
Wolfram Language Package for exploring Set and Hypergraph Substitution Systems
TensorFlowForEngineers
Repo for workshop "TensorFlow for engineers". Focus on high-level training and inference, using c++ and TFLite.
workshop-ml-for-engineers
This is a repo for my course "Machine Learning for Software Engineers"