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annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

atfnet

Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting

autotimes

Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"

basicts

A Standard and Fair Time Series Forecasting Benchmark and Toolkit.

chronos-forecasting

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

coach

антипрокристинатор

data-science-blogging

A collection of code used in my Data Science blogging.

data-science-course-usurt

Matrials for "Data Science" Course in USURT

deepar

Tensorflow implementation of Amazon DeepAR

dowhy

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.

fedformer

fine_grained_gaussian_process_forcasting

fits

FITS: Frequency Interpolation Time Series Analysis Baseline

generative-ai-on-aws

Generative AI on AWS

gpt4ts

fork official repository One Fits All: Power General Time Series Analysis by Pretrained LM

gpt4ts_adapter

новая реализация модели

gtt

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

job-guide

поиск работы

lag-llama

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

lightning-thunder

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.

llmtime

придется под себя делать

ltsf-linear

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

m6129

minbpe

Minimal, clean, code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

mlabonne

мне нужно ещё повытягивать отсюда ссылок

moderntcn

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

moment

neurips2022-film

neurips2023-one-fits-all

The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"