jtlee90

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

pytorch-YOLOv4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Unsupervised-Classification

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

kor2vec

OOV없이 빠르고 정확한 한국어 Embedding 라이브러리

Class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

black

The uncompromising Python code formatter

seg2vid

Video Generation from Single Semantic Label Map

CrossStagePartialNetworks

Cross Stage Partial Networks

pytorch-ssd

MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.

ShelfNet

implementation for paper "ShelfNet for fast semantic segmentation"

efficientdet-pytorch

A Pytorch implementation of EfficientDet

mmdetection

OpenMMLab Detection Toolbox and Benchmark

Auto-PyTorch

Automatic architecture search and hyperparameter optimization for PyTorch

ghostnet.pytorch

[CVPR2020] GhostNet: More Features from Cheap Operations

Efficient-AI-Backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

efficientdet

(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH

making-better-mistakes

EfficientDet.Pytorch

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

SNIP-filter-level-pytorch

Evaluate sensitivity of channel/vector connection to decrease width/depth of network. Which will accelerate inference speed and reduce storage usage without any other module or support

snip

Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.

snip-public

SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY

Mish

Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

Model-Compression-Papers

Papers for deep neural network compression and acceleration

lowrankcnn

Low-rank convolutional neural networks

LQ-Nets

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

corr_based_prediction

This repo provides code used in the paper "Predicting with High Correlation Features" (https://arxiv.org/abs/1910.00164):