yxymessi

MVDiffusion

MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion, NeurIPS 2023 (spotlight)

prolificdreamer

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

Anything-3D

Segment-Anything + 3D. Let's lift anything to 3D.

stable-dreamfusion

Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

LibMTL

A PyTorch Library for Multi-Task Learning

Generalized-Long-Tailed-Benchmarks.pytorch

[ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute-wise imbalance within each class. The proposed IFL together with other baselines are also included.

tutorial_noisylabels

Tutorial about noisy labels for SIBGRAPI 2020

Scene-Graph-Benchmark.pytorch

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

Prompt-align

[ICCV 2023] Prompt-aligned Gradient for Prompt Tuning

CAFE

This is a method of dataset condensation, and it has been accepted by CVPR-2022.

xERM

[AAAI 2022 Oral] This is a Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification"

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

CrossPoint

Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)

DivideMix

Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

cleanlab

学习cleanlab的源码实现

CaaM

[ICCV 2021] Released code for Causal Attention for Unbiased Visual Recognition

Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

Advances-in-Label-Noise-Learning

A curated (most recent) list of resources for Learning with Noisy Labels

image_captioning

Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"

stm32-speech-recognition

基于STM32的孤立词语音识别

MultiplexMarkovChain

xunfei-demo

xunfei-demo using Swift

Speech-Recognition-APP-NUS-

NUS partnership

institution_scaling

Awesome-Meta-Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"