FreddyPeng

FreddyPeng's Stars

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook98.7k7078.1k16k

• meta-llama/llama

  Inference code for Llama models

  Language:Python57.3k5291.1k9.7k

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook43.1k441714.6k

• run-llama/llama_index

  LlamaIndex is the leading framework for building LLM-powered agents over your data.

  Language:Python38.2k2535.8k5.5k

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python28k2352763.2k

• milanm/DevOps-Roadmap

  DevOps Roadmap for 2024. with learning resources

  13.4k223282.2k

• yzhao062/pyod

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

  Language:Python8.8k1473391.4k

• ZitaoTech/Hackberry-Pi_Zero

  A handheld Linux terminal using Raspberry pi Zero 2W as Core with 4" 720X720 TFT display

  2k54594

• datamllab/tods

  TODS: An Automated Time-series Outlier Detection System

  Language:Python1.5k3090193

• NetManAIOps/OmniAnomaly

  KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

  Language:Python7601251206

• hildensia/bayesian_changepoint_detection

  Methods to get the probability of a changepoint in a time series.

  Language:Jupyter Notebook6923229212

• kieranjwood/trading-momentum-transformer

  This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

  Language:Python4951915210

• TimyadNyda/Variational-Lstm-Autoencoder

  Lstm variational auto-encoder for time series anomaly detection and features extraction

  Language:Python31591461

• kieranjwood/slow-momentum-fast-reversion

  This code accompanies the the paper Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection (https://arxiv.org/pdf/2105.13727.pdf).

  Language:Python23617091

• manigalati/usad

  Language:Jupyter Notebook2186861

• 7fantasysz/MSCRED

  Multi-Scale Convolutional Recurrent Encoder-Decoder

  Language:Python14231754

• Rachnog/intro_to_llm_agents

  Simple introduction to LLM Agents

  Language:Jupyter Notebook1394240

• TimeEval/TimeEval-algorithms

  Time series anomaly detection algorithm implementations for TimeEval (Docker-based)

  Language:Python13792632

• alan-turing-institute/TCPDBench

  The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data

  13511828

• TomFrankly/pipedream-notion-voice-notes

  Take notes with your voice and send them to Notion

  Language:JavaScript11489561

• TimeEval/TimeEval

  Evaluation Tool for Anomaly Detection Algorithms on Time Series

  Language:Jupyter Notebook11385017

• TimeEval/evaluation-paper

  Supporting material and website for the paper "Anomaly Detection in Time Series: A Comprehensive Evaluation"

  75707

• HSE-LAMBDA/roerich

  :point_up: Change point detection

  Language:Python656610

• ZitaoTech/BBQ20-USB_BLE_Keyboard

  An ultra portable Keyboard Mouse Combo using the original Blackberry Q20 keyboard

  62417

• YKatser/CPDE

  Results of the "Ensembles of offline changepoint detection methods" research to reproduce

  Language:Jupyter Notebook411513

• datacubeR/DeepAnt

  Language:Jupyter Notebook311312

• Lab-ANT/Time2State

  An unsupervised framework for inferring the latent states in time series data

  Language:Jupyter Notebook18252

• zahraatashgahi/ALACPD

  Change-point detection using neural networks

  Language:Python17314

• RifleZhang/CORD_CPD

  Correlation-aware Change-point Detection via Graph Neural Networks

  Language:Python16113

• HolyBayes/klcpd

  PyTorch package for KL-CPD algorithm for change point and anomaly detection in time series

  Language:Python13304