Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks
☆155Feb 15, 2023Updated 3 years ago
Alternatives and similar repositories for stanford_cs231n_2019
Users that are interested in stanford_cs231n_2019 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Notes and assignment solution to http://cs231n.stanford.edu☆24Dec 8, 2022Updated 3 years ago
- Open Machine Learning Course☆10,569Mar 1, 2026Updated 2 months ago
- "Deep Learning in Natural Language Processing" - a course by DeepPavlov built on top of Stanford's cs224n☆100May 27, 2021Updated 4 years ago
- Командный проект "Закон Джунглей". Майнор ВШЭ "Интеллектуальный анализ данных", курс "Введение в программирование"☆13Oct 12, 2016Updated 9 years ago
- Machine Learning Quick Reference, published by Packt☆17Jan 30, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Course content repository☆29Sep 27, 2019Updated 6 years ago
- CraftML is a restful web service for easy pipeline creation without code.☆13Apr 18, 2021Updated 5 years ago
- Rekko Challenge 2nd place☆23Jun 6, 2019Updated 6 years ago
- Kaggle solutions☆17Nov 22, 2022Updated 3 years ago
- API to the lacmus project☆11May 17, 2023Updated 2 years ago
- A barebones (Distil)BERT pipeline for token classification tasks driven by catalyst☆13Oct 14, 2019Updated 6 years ago
- Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)☆338Aug 29, 2022Updated 3 years ago
- Catalyst.Classification☆36Sep 13, 2021Updated 4 years ago
- Материалы курса Deep Learning на пальцах☆414May 28, 2022Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- DL course co-developed by YSDA, HSE and Skoltech☆1,733Dec 12, 2025Updated 4 months ago
- ☆16Jul 26, 2020Updated 5 years ago
- Benchmarking different approaches for categorical encoding for tabular data☆173Jun 22, 2022Updated 3 years ago
- Taking together Stanford cs224n course with support of iPavlov team.☆97Mar 28, 2019Updated 7 years ago
- machine learning lifecycle framework☆201Nov 21, 2022Updated 3 years ago
- ☆30Jul 6, 2023Updated 2 years ago
- For notebooks, slides and other materials.☆12Jul 31, 2020Updated 5 years ago
- Intro to Machine Learning and Deep Learning for Earth-Life Sciences☆14Jun 29, 2019Updated 6 years ago
- ☆17Nov 25, 2019Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Home assignments for data science positions☆629Jan 19, 2024Updated 2 years ago
- The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)☆385Mar 31, 2017Updated 9 years ago
- Курс "Машинное обучение" на ФАЛТ МФТИ☆11May 12, 2021Updated 4 years ago
- Random jupyter notebooks on data analysis and machine learning☆16Nov 23, 2018Updated 7 years ago
- Реализация sklearn-based Transformer-а для Weight of Evidence преобразования☆10May 6, 2020Updated 6 years ago
- A library helping to gather stats and run checks during training deep learning models with Pytorch☆35Mar 6, 2022Updated 4 years ago
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Oct 28, 2019Updated 6 years ago
- Time Series Analysis with Python 3.x [Video], published by Packt☆30Dec 15, 2025Updated 4 months ago
- Перевод книги Себастьяна Труна на русский язык☆93Jun 10, 2019Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Подборка ресурсов по машинному обучению☆1,454Jan 12, 2021Updated 5 years ago
- Lecture notes and code for Machine Learning practical course on CMC MSU☆892May 7, 2018Updated 8 years ago
- Telegram-bot callback for your Keras model☆31Apr 27, 2019Updated 7 years ago
- Tools for working with QA-SRL data and annotating it with crowdsourcing.☆12Sep 22, 2023Updated 2 years ago
- Formula of Machine Learning☆13Sep 2, 2018Updated 7 years ago
- Materials for "Machine Learning on Big Data" course☆22Jul 23, 2023Updated 2 years ago
- Planet: Understanding the Amazon from Space☆12Jul 23, 2017Updated 8 years ago