alexlorenzo

alexlorenzo's Stars

• INK-USC/KagNet

  Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)

  Language:Python27256

• qroa/QROA

  QROA: A Black-Box Query-Response Optimization Attack on LLMs

  Language:Python14

• jlko/semantic_uncertainty

  Codebase for reproducing the experiments of the semantic uncertainty paper (short-phrase and sentence-length experiments).

  Language:Python25024

• LacombeLouis/stark

  STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases (https://stark.stanford.edu/)

  Language:Jupyter Notebook1

• williamleif/GraphSAGE

  Representation learning on large graphs using stochastic graph convolutions.

  Language:Python3.4k844

• amazon-science/RefChecker

  RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.

  Language:Python30631

• snap-stanford/stark

  STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases (NeurIPS D&B 2024)

  Language:Python30737

• povanberg/python-poetry-template

  Python template for poetry packaging and dependency manager.

  Language:Jupyter Notebook102

• lllyasviel/Fooocus

  Focus on prompting and generating

  Language:Python41.7k5.9k

• Arize-ai/phoenix

  AI Observability & Evaluation

  Language:Jupyter Notebook4k299

• scikit-learn-contrib/qolmat

  A scikit-learn-compatible module for comparing imputation methods.

  Language:Python1352

• voxel51/fiftyone

  Refine high-quality datasets and visual AI models

  Language:Python8.9k567

• openai/evals

  Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

  Language:Python15.1k2.6k

• stanford-crfm/helm

  Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in HEIM (https://arxiv.org/abs/2311.04287) and vision-language models in VHELM (https://arxiv.org/abs/2410.07112).

  Language:Python2k254

• Stick-To/Object-Detection-Tensorflow

  Object Detection API Tensorflow

  Language:Python27391

• CLINDA-AAU/loamr

  Limits of agreement with the mean - R

  Language:R11

• AlkaSaliss/DEmoClassi

  DEmoClassi stands for Demographic (age, gender, race) and Emotions (happy, sad, angry, ...) Classification from face images, using deep learning.

  Language:Jupyter Notebook3018

• brouberol/marcel

  Le docker français :whale: :fr:

  Language:Python1.6k45

• apple/tensorflow_macos

  TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.

  Language:Shell3.7k309

• nicknochnack/AdvancedHandPoseWithMediaPipe

  Language:Jupyter Notebook3827

• johnryh/Face_Embedding_GAN

  Language:Python788

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.5k4.1k

• wangyongjie-ntu/Awesome-explainable-AI

  A collection of research materials on explainable AI/ML

  Language:Markdown1.4k197

• rishizek/tensorflow-deeplab-v3-plus

  DeepLabv3+ built in TensorFlow

  Language:Python834306

• bonlime/keras-deeplab-v3-plus

  Keras implementation of Deeplab v3+ with pretrained weights

  Language:Jupyter Notebook1.4k428

• scikit-learn-contrib/MAPIE

  A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

  Language:Jupyter Notebook1.3k111

• DagnyT/hardnet

  Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

  Language:Python515100

• vcg-uvic/lf-net-release

  Code Release for LF-Net: Learning Local Features from Images

  Language:Python31466

• imcohen/segment-brain-mri

  Brain MRI segmentation using Kaggle dataset

  Language:Jupyter Notebook105

• szagoruyko/cvpr15deepcompare

  Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"

  Language:C++469169