QinjieLin-NU

QinjieLin-NU's Stars

• salesforce/Merlion

  Merlion: A Machine Learning Framework for Time Series Intelligence

  Language:Python3.4k305

• google/temporian

  Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖

  Language:Python68144

• sktime/sktime

  A unified framework for machine learning with time series

  Language:Python8k1.4k

• blue-yonder/tsfresh

  Automatic extraction of relevant features from time series:

  Language:Jupyter Notebook8.5k1.2k

• predict-idlab/tsflex

  Flexible time series feature extraction & processing

  Language:Python40626

• yzhao062/pyod

  A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

  Language:Python8.7k1.4k

• joansj/hat

  Overcoming catastrophic forgetting with hard attention to the task

  Language:Python21152

• moment-timeseries-foundation-model/moment

  MOMENT: A Family of Open Time-series Foundation Models

  Language:TypeScript40861

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.7k3.4k

• amazon-science/chronos-forecasting

  Chronos: Pretrained Models for Probabilistic Time Series Forecasting

  Language:Python2.8k309

• SalesforceAIResearch/gift-eval

  Language:Jupyter Notebook5412

• SalesforceAIResearch/uni2ts

  Unified Training of Universal Time Series Forecasting Transformers

  Language:Jupyter Notebook968111

• google-research/timesfm

  TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

  Language:Python3.9k337

• EncoraDigital/SAB-timeseries-playground

  Timeseries Learning Tool is a web app that helps the understanding of time series

  Language:JavaScript81

• facebookresearch/Kats

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  Language:Python5.2k549

• NVIDIA/cloudai

  CloudAI Benchmark Framework

  Language:Python4121

• gpustack/gpustack

  Manage GPU clusters for running AI models

  Language:Python93784

• eseckel/ai-for-grant-writing

  A curated list of resources for using LLMs to develop more competitive grant applications.

  Language:Python3.3k427

• geekan/MetaGPT

  🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

  Language:Python46.2k5.5k

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python32.7k5k

• meta-llama/llama-models

  Utilities intended for use with Llama models.

  Language:Python5.4k904

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++69.8k10.1k

• maitrix-org/llm-reasoners

  A library for advanced large language model reasoning

  Language:Python1.6k138

• suzgunmirac/meta-prompting

  Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

  Language:Python35230

• spcl/graph-of-thoughts

  Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

  Language:Python2.2k165

• dair-ai/ML-Papers-of-the-Week

  🔥Highlighting the top ML papers every week.

  10.4k622

• MingyuJ666/The-Impact-of-Reasoning-Step-Length-on-Large-Language-Models

  [ACL'24] Chain of Thought (CoT) is significant in improving the reasoning abilities of large language models (LLMs). However, the correlation between the effectiveness of CoT and the length of reasoning steps in prompts remains largely unknown. To shed light on this, we have conducted several empirical experiments to explore the relations.

  Language:Jupyter Notebook373

• kyegomez/tree-of-thoughts

  Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

  Language:Python4.4k366

• YangLing0818/buffer-of-thought-llm

  [NeurIPS 2024 Spotlight] Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

  Language:Python56554

• atfortes/Awesome-LLM-Reasoning

  Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓

  2.2k122