Методы оптимизации в ML
☆43Apr 12, 2026Updated this week
Alternatives and similar repositories for OPTIMIZATION-METHODS-COURSE
Users that are interested in OPTIMIZATION-METHODS-COURSE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [BMM 24-25] HippoTrainer: Gradient-Based Hyperparameter Optimization☆11May 6, 2025Updated 11 months ago
- Cutting-edge Python library designed for generative image augmentation!☆13Mar 25, 2025Updated last year
- Курс "моя первая научная статья"☆14Updated this week
- BMM☆13Apr 2, 2026Updated last week
- "Aligning Distributionally Robust Optimization with Practical Deep Learning Needs"☆25Oct 3, 2025Updated 6 months ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Telegram bot protecting student chats☆22Jan 23, 2026Updated 2 months ago
- Подписывайтесь, ставьте звездочку)☆15Oct 26, 2025Updated 5 months ago
- Implementation of EF and EF21 methods and their comparison on several tasks☆10Feb 24, 2024Updated 2 years ago
- Курс по прикладному статистическому анализу данных☆37Mar 20, 2026Updated 3 weeks ago
- An Excel implementation of the 2006 Groeneveld Critical Heat Flux Look Up Table☆11Mar 24, 2026Updated 3 weeks ago
- Multi threading parser for mostransport bus map. Alexey Radchenko's design office project☆13Sep 10, 2023Updated 2 years ago
- ☆15Feb 18, 2025Updated last year
- Implementation of Implicit Reparameterization Trick☆11Apr 7, 2026Updated last week
- Rust-native runtime for executing AI agents and tools under explicit policy, identity, and audit controls.☆40Updated this week
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- A multi camera tracker based on homography and costs.☆18May 16, 2020Updated 5 years ago
- ☆12Dec 23, 2024Updated last year
- AstorAI is a user-friendly medical chatbot powered by Retrieval-Augmented Generation (RAG) and the advanced LLama 3 model. It offers real…☆22Nov 9, 2024Updated last year
- ☆56May 1, 2025Updated 11 months ago
- This project is a implementation in PyTorch for ZO-AdaMU optimization: Adapting Perturbation with the Momentum and Uncertainty in Zeroth-…☆14Dec 12, 2023Updated 2 years ago
- Курс по машинному обучению☆14Dec 1, 2025Updated 4 months ago
- A implement of run-length encoding for Pytorch tensor using CUDA☆14Apr 7, 2021Updated 5 years ago
- [EMNLP 24] Source code for paper 'AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tu…☆13Dec 15, 2024Updated last year
- Code the ICML 2024 paper: "Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models"☆12Jun 25, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Burrows-Wheeler-Scott transform☆14Jun 7, 2013Updated 12 years ago
- ☆22Dec 10, 2024Updated last year
- ☆11Dec 8, 2016Updated 9 years ago
- ☆19Dec 5, 2024Updated last year
- ☆19Dec 3, 2024Updated last year
- Домашние задания студента МФТИ ФРКТ☆41Mar 8, 2026Updated last month
- The official implementation of ImageBind-LLM and Whisper-LLM from the paper "Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Compre…☆21Oct 30, 2023Updated 2 years ago
- The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"☆29Sep 26, 2019Updated 6 years ago
- Wan: Open and Advanced Large-Scale Video Generative Models☆29Jul 28, 2025Updated 8 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [BMM 24-25] "Just Relax It": Implementation of different relaxation methods☆26Jan 2, 2026Updated 3 months ago
- LLMA = LLM + Arithmetic coder, which use LLM to do insane text data compression. LLMA=大模型+算术编码,它能使用LLM对文本数据进行暴力的压缩,达到极高的压缩率。☆22Nov 24, 2024Updated last year
- Zeroth-Order Fine-Tuning of LLMs in Random Subspaces (ICCV 2025)☆19Nov 22, 2024Updated last year
- Provides the code for the paper "EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators" by Luk…☆19Oct 6, 2019Updated 6 years ago
- Second-Order Fine-Tuning without Pain for LLMs: a Hessian Informed Zeroth-Order Optimizer☆24Feb 11, 2025Updated last year
- A 12 week intensive course about Python and data science.☆21May 3, 2024Updated last year
- Parallel, Concurrent, and Distributed Programming in Java Specialization☆12Mar 4, 2019Updated 7 years ago