Aleksey Yaroshenko's starred repositories
TextBrewer
A PyTorch-based knowledge distillation toolkit for natural language processing
dsp-theory
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
ml_project_example
Демонстрация структуры ml проекта
RL-Theory-book
Reinforcement learning theory book about foundations of deep RL algorithms with proofs.
MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
Practical_RL
A course in reinforcement learning in the wild
nlp_course
YSDA course in Natural Language Processing
Practical_DL
DL course co-developed by YSDA, HSE and Skoltech
dlcourse_ai
Материалы курса Deep Learning на пальцах
optimization-fivt
Lectures on optimization methods
seminars-fivt
Seminars on optimization methods
vk-academy-dl-cv
"Basic Deep Learning" and "NNs for Computer Vision" courses materials at VK Data Academy.
stepik-dl-nlp
Материалы курса на Stepik "Нейронные сети и обработка текста"