carrtesy

carrtesy's Stars

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  30.7k2.6k01.7k

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook15.3k1124171.4k

• Sinaptik-AI/pandas-ai

  Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

  Language:Python13.9k1137661.4k

• IDEA-Research/GroundingDINO

  [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python7.1k44310714

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.2k13854879

• karpathy/build-nanogpt

  Video+code lecture on building nanoGPT from scratch

  Language:Python3.7k3821525

• rinongal/textual_inversion

  Language:Jupyter Notebook2.9k54159283

• SeldonIO/alibi-detect

  Algorithms for outlier, adversarial and drift detection

  Language:Jupyter Notebook2.3k41359225

• maxim5/cs229-2018-autumn

  All notes and materials for the CS229: Machine Learning course by Stanford University

  Language:Jupyter Notebook2k82830

• jrzaurin/pytorch-widedeep

  A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

  Language:Python1.3k25165191

• descriptinc/descript-audio-codec

  State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.

  Language:Python1.2k2880117

• fungtion/DANN

  pytorch implementation of Domain-Adversarial Training of Neural Networks

  Language:Python8581019155

• huytransformer/Awesome-Out-Of-Distribution-Detection

  Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc

  84336470

• mil-tokyo/MCD_DA

  Language:Python5652029153

• fungtion/DANN_py3

  python 3 pytorch implementation of DANN

  Language:Python520414100

• bitzhangcy/Deep-Learning-Based-Anomaly-Detection

  2629125

• LG-AI-EXAONE/EXAONE-3.0

  Official repository for EXAONE built by LG AI Research

  1736013

• hanzhaoml/MDAN

  Demo code for the MDAN paper.

  Language:Python1187619

• cure-lab/deep-active-learning

  An implementation of the state-of-the-art Deep Active Learning algorithms

  Language:Python1006217

• AI-sandbox/HyperFast

  Language:Python665412

• mlfoundations/tableshift

  A benchmark for distribution shift in tabular data

  Language:Python466117

• kuleshov-group/dgm-resources

  Language:HTML43217

• swyoon/normalized-autoencoders

  The official repository for <Autoencoding Under Normalization Constraints> (Yoon, Noh and Park, ICML 2021).

  Language:Jupyter Notebook4251218

• carrtesy/M2N2

  Official repository for the paper "When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection", AAAI 2024.

  Language:Jupyter Notebook26105

• vijaylee/Continual_Anomaly_Detection

  Official code for ACMMM 2022 paper: Towards Continual Adaptation in Industrial Anomaly Detection

  Language:Python17263

• vivian1993/logic-rules-based-reasoning-tutorial

  A Reading List of logic rules-based reasoning

  17200

• hoon9405/GenHPF

  General Healthcare Predictive Framework

  Language:Python12101

• jacobyhsi/InterpreTabNet

  [ICML 2024 (Spotlight)] InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation. Paper: https://arxiv.org/abs/2406.00426.

  Language:Jupyter Notebook1110

• inouye-lab/explaining-distribution-shifts

  The repo for the work "Towards Explaining Distribution Shifts"

  Language:Jupyter Notebook5000

• jshwang0311/ODIM

  Language:Python410