saeedranjbar12's Stars
olaviinha/NeuralImageSuperResolution
Colabs for Neural Image Enhancement.
Jonathan-LeRoux/IguanaTex
A PowerPoint add-in allowing you to insert LaTeX equations into PowerPoint presentations on Windows and Mac
lumingzzz/TIC
[DCC 2022] Transformer-based Image Compression
cszn/KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
TheAlgorithms/Python
All Algorithms implemented in Python
visenger/awesome-mlops
A curated list of references for MLOps
matteonaccari/vct
Video coding tutorial, a collection of Jupyter notebooks on the fundamentals of image and video coding
matteonaccari/vcu
mightydeveloper/Deep-Compression-PyTorch
PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally
sparsifai/epruning
Energy-based Dropout and Pruning of Deep Neural Networks
wanglouis49/pytorch-weights_pruning
PyTorch Implementation of Weights Pruning
VainF/Torch-Pruning
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
csong27/membership-inference
Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)
Koukyosyumei/AIJack
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
AdrienBenamira/membership_inference_attack
Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
spring-epfl/mia
A library for running membership inference attacks against ML models
hyhmia/BlindMI
bbartoldson/GeneralizationStabilityTradeoff
Experiments from "The Generalization-Stability Tradeoff in Neural Network Pruning": https://arxiv.org/abs/1906.03728.
chaoyanghe/Awesome-Federated-Learning
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
AhmedSalem2/ML-Leaks
Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"
BCG-X-Official/facet
Human-explainable AI.
GuoLusjtu/DVC
DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)
kangyu-california/PersistentWindows
fork of http://www.ninjacrab.com/persistent-windows/ with windows 10 update
rosshemsley/fcos
Pytorch implementation of FCOS - Fully convolutional 2D object detection.
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
ModelOriented/DrWhy
DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.
pudae/tensorflow-densenet
Tensorflow-DenseNet with ImageNet Pretrained Models
ccha23/MI-NEE
Mutual Information Neural Entropic Estimation
AlbanyHEP/JSDML
The Jensen-Shannon Divergence and Machine Learning Toolbox
gregversteeg/NPEET
Non-parametric Entropy Estimation Toolbox