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Name: Антон Зайцев
Type: User
Location: Российская Федерация
домашних проектов для всеобщего обозрения, пользования пока нет (, но предполагаю это исправить
Временные ряды
Облака
Поиск статей
Помощники
Обработка естественного языка
Программирование
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"
A Standard and Fair Time Series Forecasting Benchmark and Toolkit.
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
антипрокристинатор
A collection of code used in my Data Science blogging.
Matrials for "Data Science" Course in USURT
Tensorflow implementation of Amazon DeepAR
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
FITS: Frequency Interpolation Time Series Analysis Baseline
Generative AI on AWS
fork official repository One Fits All: Power General Time Series Analysis by Pretrained LM
новая реализация модели
Codebase for General Time Transformer - Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction
поиск работы
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.
придется под себя делать
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Minimal, clean, code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
мне нужно ещё повытягивать отсюда ссылок
This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotlight), https://openreview.net/forum?id=vpJMJerXHU
The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.