Pinned Repositories
a2rl_pytorch
ABCD
Official implementation of the CVPR'23 Paper "ABCD : Arbitrary Bitwise Coefficient for De-quantization"
AHDRNet
Attention-guided Network for Ghost-free High Dynamic Range Imaging
ai-video-super-resolution
aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
AIVC
AIVC is a fully-learned video codec. It is able to code video sequences at different rates and it features tunable coding configurations.
algforopt-notebooks
Jupyter notebooks associated with the Algorithms for Optimization textbook
aom-av1-psy
aomenc-av1 psy fork
Arbitrary-Scale-SR
Arbitrary-scale image super-resolution (ISR) and video super-resolution (VSR)
PowerQE
An unified framework of quality enhancement approaches for compressed images/videos based on PyTorch.
distoramos's Repositories
distoramos/SwinIR
SwinIR: Image Restoration Using Swin Transformer (official repository)
distoramos/PWJNDInfer
distoramos/highway
Performance-portable, length-agnostic SIMD with runtime dispatch
distoramos/bjontegaard_etro
Excel VBA code for calculating Bjontegaard Delta SNR and Rate, using arbitrary number of data points. Complies with VCEG-M33 when using 4 data points.
distoramos/Real-SR
Real-World Super-Resolution via Kernel Estimation and Noise Injection
distoramos/Ensemble-Pytorch
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
distoramos/PlotNeuralNet
Latex code for making neural networks diagrams
distoramos/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
distoramos/Recent-Image-Quality-Related-Papers
A list of image quality related papers published in top conferences and journals
distoramos/optuna
A hyperparameter optimization framework
distoramos/pytorch-grad-cam
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
distoramos/catalyst
Accelerated deep learning R&D
distoramos/DeepCSF
Contrast sensitivity function in deep networks!
distoramos/UEGAN
[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"
distoramos/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
distoramos/poolformer
PoolFormer: MetaFormer is Actually What You Need for Vision
distoramos/pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
distoramos/sparsezoo
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
distoramos/sklearn-porter
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
distoramos/ai-video-super-resolution
distoramos/ImageCodingResearchTools
distoramos/PaCNet-denoiser
distoramos/pooling-windows
Pytorch implementation of Pooling Windows like those used in Freeman and Simoncelli, 2011
distoramos/neurips-attention
distoramos/PlatEMO
Evolutionary multi-objective optimization platform
distoramos/ProjectTemplate-Python
Python Project Template
distoramos/SalEMA
Simple vs complex temporal recurrences for video saliency prediction (BMVC 2019)
distoramos/sepconv-slomo
an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch
distoramos/torchrl
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
distoramos/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.