Anastasiia Filippova's repositories
Convex-optimization
Homework for optimization course(MIPT, DCAM, 2019- 2020)
Step-detection-for-IMU-navigation-via-deep-learning-
Course " My first scientific article"
ada-2021-project-aaaf
ada-2021-project-aaaf created by GitHub Classroom
DeepLabCut
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
Sleep-monitoring-with-sensors-analysis
Semester project in Data science
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
Code-practices
Code practices
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
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.
mipt-python
Python lectures and tasks for MIPT students (in russian)
nlb_tools
Python tools for participating in Neural Latents Benchmark '21
sensorium
Code base for the SENSORIUM competition.
silero-models
Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
simpletransformers
Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI