TheaperDeng
UIUC, Ph.D. Student in Information Sciences / Intel, AI Frameworks Engineer / UMich, M.S. in Information / SJTU, B.S. in ECE
University of Illinois Urbana-ChampaignChampaign
TheaperDeng's Stars
SimplifyJobs/Summer2025-Internships
Collection of Summer 2025 tech internships!
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
apache/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
automl/auto-sklearn
Automated Machine Learning with scikit-learn
intel-analytics/ipex-llm
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, MiniCPM, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, GraphRAG, DeepSpeed, vLLM, FastChat, Axolotl, etc.
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
sktime/pytorch-forecasting
Time series forecasting with PyTorch
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
salesforce/Merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
databricks/koalas
Koalas: pandas API on Apache Spark
rob-med/awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
tox-dev/pipdeptree
A command line utility to display dependency tree of the installed Python packages
huggingface/optimum
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
AIStream-Peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
thuml/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
linkedin/greykite
A flexible, intuitive and fast forecasting library
hyperopt/hyperopt-sklearn
Hyper-parameter optimization for sklearn
intel/intel-extension-for-pytorch
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
microsoft/Olive
Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.
AsuharietYgvar/AppleNeuralHash2ONNX
Convert Apple NeuralHash model for CSAM Detection to ONNX.
winedarksea/AutoTS
Automated Time Series Forecasting
huawei-noah/vega
AutoML tools chain
DataCanvasIO/Hypernets
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
dehoyosb/temporal_fusion_transformer_pytorch
cchallu/nbeatsx
moraieu/query-selector
LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION
yifanlu0227/TVM-Transformer
Using TVM to depoly Transformer on CPU and GPU