Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
ACClip-Pytorch
The PyTorch implementation of ICLR2020 submission: Why ADAM Beats SGD for Attention Models (https://openreview.net/pdf?id=SJx37TEtDH)
Adan
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
ADJSCC
adaptive/attention deep joint source channel coding
ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Air_Pollution_Forcast_Beijing
基于Keras的LSTM多变量时间序列预测
ARIMA
Simple python example on how to use ARIMA models to analyze and predict time series.
ARIMA-And-Seasonal-ARIMA
ARIMA-LSTM-hybrid-corrcoef-predict
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
AST
Adversarial Sparse Transformer for Time Series Forecasting
How-About's Repositories
How-About/Adan
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
How-About/ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
How-About/Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
How-About/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
How-About/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
How-About/book_DeepLearning_in_PyTorch_Source
How-About/BTCNet
BTC-Net: Efficient Bit-level Tensor Data Compression Network for Hyperspectral Image
How-About/cvxpylayers
Differentiable convex optimization layers
How-About/Diffusion-Models-pytorch
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
How-About/DL4sSR
Benchmark for a paper submitted to Information Fusion
How-About/FISS
[CVPR2023] Federated Incremental Semantic Segmentation
How-About/github-slideshow
A robot powered training repository :robot:
How-About/HL-RSCompNet
This is an open-source repository based on our paper, primarily applied in the field of remote sensing image compression.
How-About/Hyperspectral-Image-Super-Resolution-Benchmark
A list of hyperspectral image super-solution resources collected by Junjun Jiang
How-About/informer_ChineseNotes
How-About/LibFewShot
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
How-About/LibMTL
A PyTorch Library for Multi-Task Learning
How-About/LIC-Domain-Adaptation-with-supervised-Adapters
OVerfitted Adapters for Imge Compression
How-About/Lite-DeepSC
How-About/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
How-About/Predictive-and-Adaptive-Deep-Coding-for-Wireless-Image-Transmission-in-Semantic-Communication
Pytorch code for IEEE TWC paper "Predictive and Adaptive Deep Coding for Wireless Image Transmission in Semantic Communication"
How-About/pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
How-About/Remote-sensing-Image-Compression
Remote-sensing Image Compression
How-About/sam
SAM: Sharpness-Aware Minimization (PyTorch)
How-About/simple-diffusion
Implementation of simple diffusion: End-to-end diffusion for high resolution images
How-About/SSPSR
A spatial-spectral prior deep network for single hyperspectral image super-resolution (IEEE TCI)
How-About/STGCN
The PyTorch version of STGCN.
How-About/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
How-About/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
How-About/Vscode_clone_ltw
这是从VScode中同步仓库ltw到GitHub的代码