Stars
The official implementation of Self-Play Preference Optimization (SPPO)
Fork of the python-language-server project, maintained by the Spyder IDE team and the community
This package provides simple functions to verify and evaluate WebVision dataset.
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise (BMVC2022)
A high-throughput and memory-efficient inference and serving engine for LLMs
A curated (most recent) list of resources for Learning with Noisy Labels
A curated list of resources for Learning with Noisy Labels
Collection of Summer 2025 tech internships!
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
A framework for few-shot evaluation of language models.
Robust recipes to align language models with human and AI preferences
Language Server Protocol (LSP) plugin for Vim9
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
[ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise
A Wayland native snapshot editing tool, inspired by Snappy on macOS
Theme for Beamer inspired by Google's Material Design
Official Implementation of Robust Training under Label Noise by Over-parameterization
Convert CIFAR-10 and CIFAR-100 datasets into PNG images
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Pytorch implementation of CoNAL(Common Noise Adaptation Layers) from "Learning from Crowds by Modeling Common Confusions"
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"