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ada-2021-project-aaaf

ada-2021-project-aaaf created by GitHub Classroom

algebra-dcam-2018

Algebra 2018 homework

algorithms-and-models-of-calculations

My homework and useful literature.

algorithms-dcam-2018

Algorithms homework

applied-data-analysis-tasks

5 курс из специализации по машинному обучению и анализу данных.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

cebra

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

cian_ml

code-practices

Code practices

convex-optimization

Homework for optimization course(MIPT, DCAM, 2019- 2020)

coursera-math-and-python

Домашнее задание по первому курсу из специализации Машинное обучение на питоне

coursera-training-on-labeled-data

Второй курс из специализации машинное обучение на питоне

cracking-the-coding-interview

Learn how to uncover the hints and hidden details in a question, discover how to break down a problem into manageable chunks, develop techniques to unstick yourself when stuck, learn (or re-learn) core computer science concepts, and practice on 189 interview questions and solutions.

datavis-project-2022-naa

datavis-project-2022-aan created by GitHub Classroom

deep-learning-v2-pytorch

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

deep_learning_2018-19

Официальный репозиторий курса Deep Learning (2018-2019) от Deep Learning School при ФПМИ МФТИ

deeplabcut

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

drawing-conclusions-from-data

4-th course from specialisation Machine learning and data analysis

gan-stability-optimization

internet-user-identification

6 course from specialisation Machine learning and data analysis

internshiptesttask

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

leetcode

liboptpy

Implementation of various optimization methods

mephisto

A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use

mipt-opt

A course on Optimization Methods

mipt-python

Python lectures and tasks for MIPT students (in russian)

mipt-python-homework

mlcourse.ai

Open Machine Learning Course