suntaochun
Ph.D. student in the Department of Earth System Science in Tsinghua University. Web: suntaochun.github.io
suntaochun's Stars
damiencouespel/article_kr_regression_co2_flux_cmip6_diagnostics
facebookresearch/jepa
PyTorch code and models for V-JEPA self-supervised learning from video.
state-spaces/mamba
Mamba SSM architecture
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
google-deepmind/graphcast
karpathy/llama2.c
Inference Llama 2 in one file of pure C
pengxiao-song/LaWGPT
🎉 Repo for LaWGPT, Chinese-Llama tuned with Chinese Legal knowledge. 基于中文法律知识的大语言模型
openai/automated-interpretability
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
facebookresearch/diplomacy_cicero
Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.
benedekrozemberczki/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
NVIDIA/open-gpu-kernel-modules
NVIDIA Linux open GPU kernel module source
zhouxh19/LearnedRewrite
An online logical query rewrite demo (schema+sql only)!
bighuang624/AI-research-tools
:hammer:AI 方向好用的科研工具
THUDM/CogView
Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
google-deepmind/alphafold
Open source code for AlphaFold.
microsoft/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
shubhomoydas/ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Diyago/Tabular-data-generation
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
horovod/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
czy36mengfei/tensorflow2_tutorials_chinese
tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials