liaoyuhua Goto Github PK
Type: User
Bio: Build something useful.
liaoyuhua's Projects
100-days-of-ml-code
100-Days-Of-ML-CodeδΈζη
advanced-python
Advanced Python tutorials.
algorithms
Bug-tracking for Jeff's algorithms book, notes, etc.
basicsr
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
complex-network-attack-simulator
This is a repository for simulation of complex network attack in Python with NetworkX.
dalai
The simplest way to run LLaMA on your local machine
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
gpt-ts
Reproduction of the paper "One Fits All: Power General Time Series Analysis by Pretrained LM"
largets
Train time series models on large-scale data.
liaoyuhua
Config files for my GitHub profile.
llm4ts
Large Language Models for Time Series.
llm4ts-pytorch
Reproduction of the paper "LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters"
mini-trainer
The PyTorch micro framework for training neural networks.
ml-visuals
π¨ ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
open-time-series-datasets
A collection of public time series data for machine learning research and modeling.
optim
Open Time Series Foundation Model.
paas
PaaS: Prediction as a Service.
pretrained-time-series-model
Pretrain a time series model from scratch.
pytorch-forecasting
Time series forecasting with PyTorch
pytorch-mmap-dataset
A custom pytorch Dataset extension that provides a faster iteration and better RAM usage
sorteddict-for-python
Sorted Dictionary for Python language.
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
tempo-pytorch
Reproduction of the paper "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting"
transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
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