mountains-high's repositories
Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
BigGAN-PyTorch
The author's officially unofficial PyTorch BigGAN implementation.
deep-image-prior
Image restoration with neural networks but without learning.
Deep-SVDD-PyTorch
A PyTorch implementation of the Deep SVDD anomaly detection method
deeplearning-models
A collection of various deep learning architectures, models, and tips
DIST_KD
Official implementation of paper "Knowledge Distillation from A Stronger Teacher", NeurIPS 2022
Efficient-Computing
Efficient-Computing
fcdd
Repository for the Explainable Deep One-Class Classification paper
FrEIA
Framework for Easily Invertible Architectures
HATS
HATS: Histograms of Averaged Time Surfaces
Image-Super-Resolution-via-Iterative-Refinement
Unoffical implementation about Image Super-Resolution via Iterative Refinement by Pytorch
INADE
Implementation of Diverse Semantic Image Synthesis via Probability Distribution Modeling (CVPR 2021)
pytorch-cifar
95.47% on CIFAR10 with PyTorch
pytorch-image-classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Restormer
Official repository for "Restormer: Efficient Transformer for High-Resolution Image Restoration". SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
sparse-spiking-neural-networks
Repository code for the IJCNN 2021 paper "Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks"
SparseSync
Source code for "Sparse in Space and Time: Audio-visual Synchronisation with Trainable Selectors." (Spotlight at the BMVC 2022)
SpikingConvNN-AudioClassification
Repository containing work on "Sparsity Through Spiking Convolutional Neural Network for Audio Classification at the Edge".
spikingjelly
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
STBP-train-and-compression
STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize SNNS with QAT to deploy to neuromorphological chips like Loihi and Tianjic.
tinytapeout-05
Tiny Tapeout 05 shuttle repository
torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
tt05-lif-demo
Leaky Integrate and Fire Neuron Demo, updated for Tiny Tapeout 05
YOLOv3-PyTorch
Pytorch implements yolov3.Good performance, easy to use, fast speed.