yif-yang Goto Github PK

active-learning

active-learning-1

byol

Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

centernet

Object detection, 3D detection, and pose estimation using center point detection:

concert_ticket

大麦网演唱会抢票程序

damaiauto

基于python和selenium实现的大麦网自动刷新抢票脚本

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deepfashion2

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

deepfashion_py_api

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

discriminativeactivelearning

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

drbayes

Code Repo for "Subspace Inference for Bayesian Deep Learning"

dssl

Official repo for Directional Self-supervised Learning for Heavy Image Augmentations [CVPR2022]

early-exit-ensembles

Early exit ensembles

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastmaskrcnn

Mask RCNN in TensorFlow

gsam

higher-hrnet-human-pose-estimation

Higher-Resolution Networks (HigherHRNets) for Human Pose Estimation

hyperplane-google-winter-camp

lite-hrnet

This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.

lite_hrnet

Lite-HRNet: A Lightweight High-Resolution Network

lite_hrnet_onnx

mac-teamviewer-crack

crack teamviewer 15 for mac

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mmdetection

Open MMLab Detection Toolbox with PyTorch 1.0

mobile_phone_human_matting

human matting on mobile phone

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

model-compression-papers

Papers for deep neural network compression and acceleration

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.