gxhrid

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Awesome-Chinese-LLM

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

The-Art-of-Linear-Algebra-zh-CN

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.

soot

Soot - A Java optimization framework

lm-human-preferences

Code for the paper Fine-Tuning Language Models from Human Preferences

summarize-from-feedback

Code for "Learning to summarize from human feedback"

LLM4Rec-Awesome-Papers

A list of awesome papers and resources of recommender system on large language model (LLM).

editGAN_release

Awesome-Foundation-Models

A curated list of foundation models for vision and language tasks

awesome-time-series

Resources for working with time series and sequence data

Nonstationary_Transformers

Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

datasetGAN_release

Awesome-Domain-Generalization

Awesome things about domain generalization, including papers, code, etc.

Scalpel

Scalpel: The Python Static Analysis Framework

text-autoencoders

tsgm

Generative modeling of synthetic time series data and time series augmentations

TSCL

Contrastive Learning for Time Series

TabCSDI

A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"

perturb_explanations

Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"

RTSGAN

contrastive2021

Implementation for ICLR 2023 paper "Towards the Generalization of Contrastive Self-Supervised Learning" (https://arxiv.org/abs/2111.00743)

CoMTE

Counterfactual Explanations for Multivariate Time Series Data

local_global_ts_representation

Interpretation2Adversary

Adversarial learning by utilizing model interpretation

timeseries-explain

Timeseries Explain

Sphere-Uniformity

Implementation for <Learning with Hyperspherical Uniformity> in AISTATS'21.

ts-diffusion