Forwarded from HackAlem
Mira — когда хочешь делегировать рутину
Notion — когда надо собрать всё в одном месте
Obsidian — когда хочется думать не по папкам, а по связям
А если хочешь не просто пользоваться AI, а еще и побороться за призы —
залетай в Mira Growth Hack
Регистрация: клик (нажми)
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DeepML #242: Non-Maximum Suppression for Object Detection 👀
Problem for practice NMS (DeepML #242): https://www.deep-ml.com/problems/242
NMS implementation without Numpy (clean python): https://gist.github.com/silvermete0r/b4396efdeb48e5df639a5e69a0870b95
NMS vectorized implementation with Numpy: https://gist.github.com/silvermete0r/0ae1ed33557ee44e6aad3a2fbf2ec237
Image credits: learnopencv
Non-Maximum Suppression (NMS) is a crucial post-processing technique in computer vision, notably in object detection (e.g., YOLO, SSD), designed to eliminate redundant, overlapping bounding boxes for a single object. It works by selecting the highest-confidence prediction and suppressing others that overlap significantlyProblem for practice NMS (DeepML #242): https://www.deep-ml.com/problems/242
NMS implementation without Numpy (clean python): https://gist.github.com/silvermete0r/b4396efdeb48e5df639a5e69a0870b95
NMS vectorized implementation with Numpy: https://gist.github.com/silvermete0r/0ae1ed33557ee44e6aad3a2fbf2ec237
Image credits: learnopencv
3910. Count Connected Subgraphs with Even Node Sum | LC Hard
Topics:
Problem link: https://leetcode.com/problems/count-connected-subgraphs-with-even-node-sum/
#LeetCode #Daily
Topics:
graphs, bitmasks, dfs, bfsProblem link: https://leetcode.com/problems/count-connected-subgraphs-with-even-node-sum/
#LeetCode #Daily
KBTU OPEN
Hello everyone! We invite you to a regular team open (magnificent, spectacular) competitive programming contest 🏛 KBTU Open 2026 Spring 🏛 which will take place on May 10, 2026. Prizes: 1️⃣ - 3️⃣ place - cash prizes 1️⃣ - 6️⃣ place - KBTU Open winner…
🐱💻 Kindly reminder!
KBTU Open 2026 Spring Registration Deadline is May 8, 2026!
The contest will take place on May 10, 2026.
P.S. https://kbtuopen.com/team
KBTU Open 2026 Spring Registration Deadline is May 8, 2026!
The contest will take place on May 10, 2026.
P.S. https://kbtuopen.com/team
👀 Прикольно, оказывается на платформе NeetCode есть секция ML: https://neetcode.io/practice/machine-learning (тут всякие ML задачки)
+ есть блок для написания архитектуры GPT (там attention и т.д. дела) -> https://neetcode.io/practice/machine-learning/project
+ есть блок для написания архитектуры GPT (там attention и т.д. дела) -> https://neetcode.io/practice/machine-learning/project
Forwarded from .
Bayan Sulu Hackathon 💛
Bayan Sulu Hackathon 2026 - двухэтапный хакатон, направленный на разработку и презентацию инновационных решений.
📍 Локация: Астана (офлайн-финал)
📆 Онлайн этап: 28 апреля - 6 мая
📆 Финал: 9-10 мая
💰 Общий призовой фонд: 1 000 000 KZT
Призовые места:
• 1 место - 500 000 KZT
• 2 место - 300 000 KZT
• 3 место - 200 000 KZT
Формат проведения:
• Онлайн этап- регистрация, подача заявок и отбор участников
• Офлайн финал - 24-часовой хакатон и защита проектов в Астане
Условия участия:
• Команды от 2 до 5 человек
• Обязательное участие в офлайн-финале для прошедших отбор
• Открыто для участников, заинтересованных в разработке и реализации проектных решений
Хакатон проводится при поддержке Bayan Sulu, Adai Media и Syndicate Association.
🔗 Регистрация: https://docs.google.com/forms/d/e/1FAIpQLSeNgLzpH0xq91sD5yEb9euJrU03gbmp0cnI_kVRXJXdGV7yqg/viewform
📩 Дополнительная информация на нашем инстаграм аккаунте: @syndicate.association
Bayan Sulu Hackathon 2026 - двухэтапный хакатон, направленный на разработку и презентацию инновационных решений.
📍 Локация: Астана (офлайн-финал)
📆 Онлайн этап: 28 апреля - 6 мая
📆 Финал: 9-10 мая
💰 Общий призовой фонд: 1 000 000 KZT
Призовые места:
• 1 место - 500 000 KZT
• 2 место - 300 000 KZT
• 3 место - 200 000 KZT
Формат проведения:
• Онлайн этап- регистрация, подача заявок и отбор участников
• Офлайн финал - 24-часовой хакатон и защита проектов в Астане
Условия участия:
• Команды от 2 до 5 человек
• Обязательное участие в офлайн-финале для прошедших отбор
• Открыто для участников, заинтересованных в разработке и реализации проектных решений
Хакатон проводится при поддержке Bayan Sulu, Adai Media и Syndicate Association.
🔗 Регистрация: https://docs.google.com/forms/d/e/1FAIpQLSeNgLzpH0xq91sD5yEb9euJrU03gbmp0cnI_kVRXJXdGV7yqg/viewform
📩 Дополнительная информация на нашем инстаграм аккаунте: @syndicate.association
5-Day AI Agents: Intensive Vibe Coding Course With Google (June 15 - 19, 2026): https://www.kaggle.com/competitions/5-day-ai-agents-intensive-vibecoding-course-with-google
~ Hosted by Google 🤗
Recommend Key Skills and Knowledge:
* Python Programming: The course includes hands-on coding exercises, so prior experience with Python is highly recommended.
* Basic AI Concepts: A foundational understanding of AI concepts will help you follow along more easily. If you’re new to these topics, we recommend starting with the 5-Day AI Agent Intensive Course with Google.
* Google AI Studio: Familiarity with Google AI Studio will help you experiment with and deploy AI models effectively. The API & Google AI Studio is available in these locations: https://ai.google.dev/gemini-api/docs/available-regions.
~ Hosted by Google 🤗
Recommend Key Skills and Knowledge:
* Python Programming: The course includes hands-on coding exercises, so prior experience with Python is highly recommended.
* Basic AI Concepts: A foundational understanding of AI concepts will help you follow along more easily. If you’re new to these topics, we recommend starting with the 5-Day AI Agent Intensive Course with Google.
* Google AI Studio: Familiarity with Google AI Studio will help you experiment with and deploy AI models effectively. The API & Google AI Studio is available in these locations: https://ai.google.dev/gemini-api/docs/available-regions.
Kaggle
5-Day AI Agents: Intensive Vibe Coding Course With Google
June 15 - 19, 2026
Bayes' Theorem is a mathematical formula for determining conditional probability, allowing you to update the probability of a hypothesis (an event) based on new evidence.
Core Applications:
* Naive Bayes Classifier: A popular, fast, and scalable algorithm assuming feature independence, often used for text classification, such as spam detection.
* Bayesian Inference: Systematically updating beliefs and quantifying uncertainty in model parameters.
* Bayesian Networks: Probabilistic graphical models that represent conditional dependencies.
DeepML Problem (#336): https://www.deep-ml.com/problems/336
Bayes' Theorem, Clearly Explained by StatQuest (youtube): https://youtu.be/9wCnvr7Xw4E?si=WUCiRH6x6ccVGQHJ
Core Applications:
* Naive Bayes Classifier: A popular, fast, and scalable algorithm assuming feature independence, often used for text classification, such as spam detection.
* Bayesian Inference: Systematically updating beliefs and quantifying uncertainty in model parameters.
* Bayesian Networks: Probabilistic graphical models that represent conditional dependencies.
DeepML Problem (#336): https://www.deep-ml.com/problems/336
Bayes' Theorem, Clearly Explained by StatQuest (youtube): https://youtu.be/9wCnvr7Xw4E?si=WUCiRH6x6ccVGQHJ
115. Distinct Subsequences | LC Hard
My hardcoded solution 😅 (backward dp + combinatorics) -> https://pastebin.com/3F8jKYFT
Topics:
🔗 Problem link: https://leetcode.com/problems/distinct-subsequences/
#LeetCode #Daily #DP
My hardcoded solution 😅 (backward dp + combinatorics) -> https://pastebin.com/3F8jKYFT
Topics:
dynamic programming, combinatorics, math🔗 Problem link: https://leetcode.com/problems/distinct-subsequences/
#LeetCode #Daily #DP