Jiangtao Liu's starred repositories
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
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, ... 🧠
xlstm-resources
Resources about xLSTM by Sepp Hochreiter
model-parallelism-LNNs
Model Parallelism: Building and Deploying Large Neural Networks
EfficientSAM
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
Awesome-Masked-Autoencoders
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
Pangu-Weather-ReadyToGo
盘古天气大模型全流程演示（ 输入数据准备、预测及结果可视化）Unofficial demonstration of Huawei's Pangu Weather Model. Implementing the entire process of data preparation for input, forecasting conversion of forecasted results, and visualization.
Time-Series-Library
A Library for Advanced Deep Time Series Models.
NeurIPS2023-One-Fits-All
The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"
BertWithPretrained
An implementation of the BERT model and its related downstream tasks based on the PyTorch framework
FourCastNet
Initial public release of code, data, and model weights for FourCastNet
awesome-gpt
🏆 An awe-inspiring collection of resources, encompassing a wide range of tools, documents, resources, applications, and use cases related to ChatGPT.
LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
awesome-earth-engine-apps
A collection of all public Google Earth Engine Apps.
segment-anything-finetuner
Simple Finetuning Starter Code for Segment Anything
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Earthquake_prediction_DNN
Earthquakes prediction using deep neural networks prediction.