tfriedel

docta

A Doctor for your data

DeepSpeed-MII

MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.

Semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

MimicBrush

Official implementations for paper: Zero-shot Image Editing with Reference Imitation

awesome-open-data-centric-ai

Curated list of open source tooling for data-centric AI on unstructured data.

BMInf

Efficient Inference for Big Models

Hawkeye

Open source deep learning based fine-grained image recognition toolbox built on PyTorch🔥

TPAT

TensorRT Plugin Autogen Tool

smol-vision

Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜

Arc-Windows-10

cifar-10-100n

Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.

glc

Gold Loss Correction

SimiFeat

ProMix

[IJCAI 2023] ProMix: Combating Label Noise via Maximizing Clean Sample Utility

UNICON-Noisy-Label

[CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"

semi-vit

PyTorch implementation of Semi-supervised Vision Transformers

optimi

Fast, Modern, Memory Efficient, and Low Precision PyTorch Optimizers

ai-cli

Experience the power of Command AI: your AI-powered command line companion that makes complex tasks simple and intuitive.

ssl-evaluation

Evaluation of semi-supervised learning on challenging datasets

tao_tutorials

Quick start scripts and tutorial notebooks to get started with TAO Toolkit

General-Framework-Weak-Supervision

This repo provides the codebase for "A General Framework for Weak Supervision"

ldada

(TIP'18) An Embarrassingly Simple Approach to Visual Domain Adaptation

Meta-Co-Training

UFG-NCD

(CVPR2024 Highlight) Novel Class Discovery for Ultra-Fine-Grained Visual Categorization (UFG-NCD)

SoC4SS-FGVC

"Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning" by Yue Duan (AAAI 2024)

BadLabels

Challenging label noise called BadLabel; Robust label-noise learning called Robust DivideMix

TasselLFANet

TasselLFANet：Lightweight Feature Aggregation Neural Network

ProtoSemi

CCC

AAAI 2024, Coupled Confusion Correction: Learning from Crowds with Sparse Annotations

inference-tensorrt

Convert ONNX models to TensorRT engines and run inference in containerized environments