raymon-tian

awesome-low-light-image-enhancement

This is a resouce list for low light image enhancement

PMN

[TPAMI 2023 / ACMMM 2022 Best Paper Runner-Up Award] Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling (a Data Perspective)

Retinexformer

"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)

Awesome-person-re-identification

Awesome Person Re-identification

nerf2mesh

[ICCV2023] Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

RepLKNet-pytorch

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)

awesome-NeRF-papers

All NeRF-related papers at CVPR/ICCV/ECCV/NIPS/ICML/ICLR

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

eg3d

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

modelscope

ModelScope: bring the notion of Model-as-a-Service to life.

NAFNet

The state-of-the-art image restoration model without nonlinear activation functions.

imbalanced-regression

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

VINS-Mono

A Robust and Versatile Monocular Visual-Inertial State Estimator

ply

Python Lex-Yacc

onnx-modifier

A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

Meshroom

3D Reconstruction Software

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

interview_python

关于Python的面试题

RANSynCoders

awesome-anomaly-detection

A complete list of papers on anomaly detection.

telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Anomaly-Transformer

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

usad

OmniAnomaly

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

iResNet

multinerf

A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF