mawanda-jun's Stars
massgravel/Microsoft-Activation-Scripts
Open-source Windows and Office activator featuring HWID, Ohook, KMS38, and Online KMS activation methods, along with advanced troubleshooting.
xinntao/Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
JaidedAI/EasyOCR
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
mudler/LocalAI
:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed inference
voxel51/fiftyone
The open-source tool for building high-quality datasets and computer vision models
lukemelas/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
Po-Hsun-Su/pytorch-ssim
pytorch structural similarity (SSIM) loss
traveller59/spconv
Spatial Sparse Convolution Library
yulunzhang/RCAN
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
VainF/pytorch-msssim
Fast and differentiable MS-SSIM and SSIM for pytorch.
Shikhargupta/Spiking-Neural-Network
Pure python implementation of SNN
davidtvs/pytorch-lr-finder
A learning rate range test implementation in PyTorch
selimsef/dfdc_deepfake_challenge
A prize winning solution for DFDC challenge
gorgonia/cu
package cu provides an idiomatic interface to the CUDA Driver API.
QUVA-Lab/escnn
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
Jakaria08/EESRGAN
Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network
guillaume-chevalier/Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
guptapraful/niqe
NIQE for IQA in python..
neuronets/nobrainer
A framework for developing neural network models for 3D image processing.
Lornatang/ESRGAN-PyTorch
A simple implementation of esrgan, which uses the pytorch framework.
maael/SpikingNeuralNetwork
A python implementation of a spiking neural network with STDP and Reinforcement learning methods
shimacos37/kaggle-trends-3rd-place-solution
the 3rd place solution code of Kaggle TReNDS Neuroimaging (https://www.kaggle.com/c/trends-assessment-prediction/overview)
vliu15/3d-brain-tumor-segmentation
Volumetric MRI brain tumor segmentation using autoencoder regularization
fhopfmueller/bi-tempered-loss-pytorch
Unofficial port to pytorch of parts of https://github.com/google/bi-tempered-loss
ItayElam/SegmentAnything-TensorRT
isarandi/rlemasklib
Manipulate run-length encoded image masks
EmanueleC/GlobalComputing
Repository for Global Computing course at University of Padua
matteo-rizzo/MotionClassificationCNN
Transposition of a neuroscientific experiment about the recognition of implicit movement within glass patterns via neural networks.
WolodjaZ/PolyGoneNMS
Distributed Polygon Non-Maximum Suppression Python Library
sgarbanti/GlobalComputingExam