iboing

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

qiskit

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

OMG-Seg

OMG-LLaVA and OMG-Seg codebase

EdgeSAM

Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"

Awesome-Open-Vocabulary

(TPAMI 2024) A Survey on Open Vocabulary Learning

Awesome-Segmentation-With-Transformer

[T-PAMI-2024] Transformer-Based Visual Segmentation: A Survey

Awesome-Reasoning-Foundation-Models

✨✨Latest Papers and Benchmarks in Reasoning with Foundation Models

SFSegNets

[ECCV-2020-oral]-Semantic Flow for Fast and Accurate Scene Parsing

LRV-Instruction

[ICLR'24] Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

awesome-deep-phenomena

A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...

NTK

Code for experiments in my blog post on the Neural Tangent Kernel: https://rajatvd.github.io/NTK

Awesome-Feature-Learning-in-Deep-Learning-Thoery

Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into the fascinating world of feature learning within deep learning theory.

LLM-for-Healthcare

FSCIL

[ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning"

DeMT

DirectRandomTargetProjection

PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct feedback alignment (DFA), and direct random target projection (DRTP).

SoftHebb

PolyphonicFormer

[ECCV 2022] 🎵PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation

Panoptic-PartFormer

[ECCV-2022] The First Unified End-to-End System for Panoptic Part Segmentation

constrained-FSCIL

PyTorch Implementation of the CVPR'22 Paper "Constrained Few-shot Class-incremental Learning"

ImbalancedLearning

[NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?".

SGA

The official code of "Eliminating Gradient Conflict in Reference-based Line-art Colorization" (ECCV2022)

Vertical

[ECCV2022] Official implementation of the paper "View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums"

qst-cgan

Quantum state tomography with conditional generative adversarial networks

EATFormer

EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm

layerCNN

MQTransformer

UniCIL

The official code for our paper "Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants".

GradCosine

Semantic-Segmentation

[CVPR 2023] The official code for our CVPR 2023 paper "Understanding Imbalanced Semantic Segmentation Through Neural Collapse".