Radoslav Neychev

Elite
@neychev

made_nlp_course. Jupyter Notebook

63

small_DL_repo. Jupyter Notebook

14

harbour_dlia2019. Jupyter Notebook

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harbour_ml2020. Jupyter Notebook

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harbour_dlia2020. Jupyter Notebook

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adversarial_variational_optimization. PyTorch implementation of Adversarial Variational Optimization process described in paper "Adversarial Variational Optimization of Non-Differentiable Simulators".

2

distillation_n_privileged_info_torch. PyTorch implementation of Generalised Distillation Approach presented in "Unifying distillation and privileged information" paper on ICLR 2016.

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m1p_structural_optimization. Jupyter Notebook

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brain-tokyo-workshop. 🧠🗼

1

ml-mipt-part2. Materials of ML course at MIPT part 2

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fall19_madmo_adv. Jupyter Notebook

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kerasify. Small library for running Keras models from a C++ application

1

opencv_contrib. Repository for OpenCV's extra modules

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deep-learning-v2-pytorch. Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

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Sber2020_May. Jupyter Notebook

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projects. Small projects and demonstrations

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reinforcement-learning. Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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