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
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.
nomic-ai/gpt4all
GPT4All: Chat with Local LLMs on Any Device
ggerganov/llama.cpp
LLM inference in C/C++
THUDM/ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
tatsu-lab/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
shap/shap
A game theoretic approach to explain the output of any machine learning model.
tloen/alpaca-lora
Instruct-tune LLaMA on consumer hardware
mistralai/mistral-inference
Official inference library for Mistral models
abetlen/llama-cpp-python
Python bindings for llama.cpp
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
EleutherAI/pythia
The hub for EleutherAI's work on interpretability and learning dynamics
secdr/research-method
论文写作与资料分享
intel/neural-compressor
SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
marella/ctransformers
Python bindings for the Transformer models implemented in C/C++ using GGML library.
nomic-ai/pygpt4all
Official supported Python bindings for llama.cpp + gpt4all
tinkoff-ai/etna
ETNA – Time-Series Library
securefederatedai/openfl
An open framework for Federated Learning.
gretelai/gretel-synthetics
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
thuml/Nonstationary_Transformers
Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415
huggingface/optimum-intel
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
nimarb/pytorch_influence_functions
This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.
MadryLab/trak
A fast, effective data attribution method for neural networks in PyTorch
IntelLabs/FP8-Emulation-Toolkit
PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.
alstonlo/torch-influence
A simple PyTorch implementation of influence functions.
ZaydH/influence_analysis_papers
Influence Analysis and Estimation - Survey, Papers, and Taxonomy
MadryLab/DsDm
TRAIS-Lab/dattri
`dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.
sigopt/sigoptlite
Optimize with SigOpt with this standalone SigOpt client driver.
intel/BigDL-Time-Series-Toolkit