Research Engineer specializing in Autonomous Driving. Expert in sensor fusion, machine learning, and robotics.
multi-object-tracking-in-python. 📡 implementation of multi object tracking algorithms including PMBM (Poisson Multi Bernoulli Mixture filter) in Python 🐍
215awesome-ML-in-plasma-physics. ⚛️ ML in fusion industry/science 🍩⚡
30end2end_OCR. Course homework in YSDA
3Ivan_Kharitonov_CV. TeX
2murty. C++
1ml-workspace. 🛠 All-in-one web-based IDE specialized for machine learning and data science.
1serverless-python-action. :zap::snake::octocat: A Github Action for deploying Python projects with the Serverless Framework
1yandex-images-download. Python Script to download images from Yandex.Images.
1kharitonov-ivan.github.io. Personal webpage and blogpost
1nlp_course. YSDA course in Natural Language Processing
1RL-Theory-book. TeX
1FOTS. OCR detection for ICDAR2015, which is based on FOTS, the precision is 80.6%.
1fsoco. Formula Student Objects in Context Dataset for the Formula Student Driverless competitions
1space_junk_simulator. Simulator of Space junk objects based on CUDA solver
1Practical_RL_public. A course in reinforcement learning in the wild
1confessions. Smarty
1muzero-general. MuZero
1pmbm-filter. PMBM filter for Multi-Object Tracking with a focus on NuScenes dataset.
1fastmurty. Murty's algorithm with optimizations from Miller,Stone,Cox
1A_Star. Python
1cuda_development_env_in_docker. [WIP] docker image for cuda development
1catboost_SE. CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
1byterun. A Python implementation of a Python bytecode runner
1DeepLearningFlappyBird. Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
1MIPT_Data_Mining_In_Action_2016. "Data Mining in Action Course", Moscow Institute of Physics and Technologies
1Keras-FlappyBird. Using Keras and Deep Q-Network to Play FlappyBird
1GoDeeper.
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