sumatrae's Stars
CompVis/stable-diffusion
A latent text-to-image diffusion model
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
meta-llama/llama
Inference code for Llama models
Hannibal046/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
HqWu-HITCS/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。
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
RUCAIBox/LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
ymcui/Chinese-LLaMA-Alpaca-2
中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)
wgwang/awesome-LLMs-In-China
**大模型
google/gemma_pytorch
The official PyTorch implementation of Google's Gemma models
ddz16/TSFpaper
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
explosion/spacy-llm
🦙 Integrating LLMs into structured NLP pipelines
leewaiho/Clean-Architecture-zh
《架构整洁之道》中文翻译
4paradigm/AutoX
AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.
GestaltCogTeam/STEP
Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.
bat67/awesome-deep-learning-and-machine-learning-questions
【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题
mohitzsh/ML-Interview
Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
richardcochran/linuxptp
User space PTP stack for the GNU/Linux operating system.
usarawgi911/machine-learning-interview-questions
LongxingTan/KDDCup2022-WPF
3rd Place Solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting
aershov24/machine-learning-ds-interview-questions
🔴 1704 Machine Learning, Data Science & Python Interview Questions (ANSWERED) To Kill Your Next ML & DS Interview. Get All Answers + PDFs on MLStack.Cafe. Post your ML Jobs 👉
shaido987/KDD_wind_power_forecast
KDD Cup 2022 spatial dynamic wind power forecast challenge solution.
Maples7/PowerFlowCalculation
电力系统潮流计算 using Python
wanlida/2018_diantou_PhotovoltaicPowerStation
2018光伏发电预测比赛，结果a榜22/801 ，b榜44/801
sustainable-computing/dist_grid_identification
A simulation framework for topology identification and model parameter estimation in power distribution grids: https://ieeexplore.ieee.org/document/8601410
BeBeYourLove/TDformer
for the realization of TDformer in the paper "First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting", thank you very much xiyuanzh for most of the implementation of the code!
deater/performance_results
performance results/benchmarks for a variety of machines
PVKonovalov/awesome-smartgrid
A curated list of awesome Smart Grid and IoT frameworks, libraries and software
liyifu93/Final-Project-Group4
This is the Final Project for DATS 6203 Machine Learning II of George Washington University.