waterbearbee's repositories
Fast_Seg
This repo provides :zap: fast:zap: semantic segmentation models on CityScapes/Camvid DataSet by Pytorch
TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
graffitist
Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow.
DSQ
pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"
TransNorm
Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)
GALD-Net
Source code and models of GALD net :tada:
Awesome-Pruning
A curated list of neural network pruning resources.
FullNet-varCE
Pytorch implementation of FullNet-varCE
rigl
End-to-end training of sparse deep neural networks with little-to-no performance loss.
EMANet
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
nn_dataflow
Explore the energy-efficient dataflow scheduling for neural networks.
MNN
MNN is a lightweight deep neural network inference engine.
NAS-Projects
11 neural architecture search (NAS) algorithms implemented in PyTorch.
pkuseg
Benchmarks for Semantic Segmentation.
AnchorLoss
Implementation of "Anchor Loss: Modulating loss scale based on prediction difficulty"
KD_methods_with_TF
Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)
torch2trt
An easy to use PyTorch to TensorRT converter
Codes-for-Lane-Detection
Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)
E2Train
[NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy
sparse_learning
Sparse learning library and sparse momentum resources.
alibabacloud-quantization-networks
alibabacloud-quantization-networks
cutmix
a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
pytorch-scalable-neural-networks
A pytorch implement of scalable neural netowrks.
Stronger-yolo
š„Improve yolo with latest paper
FUNIT
Translate images to unseen domains in the test time with few example images.
MGAN
Mask-Guided Attention Network for Occluded Pedestrian Detection. (ICCV'19)
DTA.pytorch
Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation, to be presented at ICCV 2019.
AlphaGAN-Matting
This project is an unofficial implementation of AlphaGAN: Generative adversarial networks for natural image matting published at the BMVC 2018