suntaochun
Ph.D. student in the Department of Earth System Science in Tsinghua University. Web: suntaochun.github.io
Pinned Repositories
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.
adaptive-inertia-adai
The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our ICML2020 Long Oral paper: "Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum".
Chinese-BERT-wwm
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
CogView
Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
covid-mobility
dask
Parallel computing with task scheduling
diplomacy_cicero
Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.
earthengine-community
Tutorials and content created by Earth Engine users, for Earth Engine users
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
suntaochun's Repositories
suntaochun/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.
suntaochun/adaptive-inertia-adai
The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our ICML2020 Long Oral paper: "Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum".
suntaochun/Chinese-BERT-wwm
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
suntaochun/CogView
Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
suntaochun/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
suntaochun/covid-mobility
suntaochun/dask
Parallel computing with task scheduling
suntaochun/diplomacy_cicero
Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.
suntaochun/earthengine-community
Tutorials and content created by Earth Engine users, for Earth Engine users
suntaochun/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
suntaochun/GAN-for-tabular-data
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.
suntaochun/geemap
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
suntaochun/gpt4all
gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue
suntaochun/GraphGPS
Recipe for a General, Powerful, Scalable Graph Transformer
suntaochun/leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
suntaochun/llama2.c
Inference Llama 2 in one file of pure C
suntaochun/MTGNN
suntaochun/openai-python
The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language.
suntaochun/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
suntaochun/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
suntaochun/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
suntaochun/shap
A game theoretic approach to explain the output of any machine learning model.
suntaochun/suntaochun.github.io
suntaochun/Swin-Transformer-Object-Detection
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
suntaochun/T-Huff
suntaochun/torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
suntaochun/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
suntaochun/us-immigration-speeches
suntaochun/xarray
N-D labeled arrays and datasets in Python
suntaochun/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/