iBelieveCJM's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
0voice/interview_internal_reference
2023年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
google-research/google-research
Google Research
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
open-mmlab/mmagic
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
pliang279/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
amdegroot/ssd.pytorch
A PyTorch Implementation of Single Shot MultiBox Detector
princeton-vl/CornerNet
Lam1360/YOLOv3-model-pruning
在 oxford hand 数据集上对 YOLOv3 做模型剪枝(network slimming)
xiaolai-sqlai/mobilenetv3
mobilenetv3 with pytorch,provide pre-train model
cheungdaven/DeepRec
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
google-research/fixmatch
A simple method to perform semi-supervised learning with limited data.
MaurizioFD/RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
bharatsingh430/soft-nms
Object Detection
ruoqianguo/DetNet_pytorch
An implementation of DetNet: A Backbone network for Object Detection.
OceanPang/Libra_R-CNN
Code for CVPR 2019 paper "Libra R-CNN: Towards Balanced Learning for Object Detection"
daicoolb/RecommenderSystem-DataSet
This repository contains some datasets that I have collected in Recommender Systems.
STVIR/Grid-R-CNN
JackonYang/paper-reading
比做算法的懂工程落地,比做工程的懂算法模型。
EricArazo/PseudoLabeling
Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"
ruoqianguo/FPN_Pytorch
Base jwyang/fpn.pytorch, train FPN on Pascal VOC get 80.5 mAP
maple-research-lab/EnAET
EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
mengrang/DFL-CNN-tensorflow
TF-Implementation of "Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition"
qian135/ctr_model_zoo
some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network
uizard-technologies/realmix
Code for the paper: RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms
cdjasonj/datagrand
2019达观杯 第六名代码
ygean/NTS-Net
This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" , I support this repository to implement training on own dataset, and also providing densenet as feature extractor network.
hsaigei/Deep-Interest-Network
wren44/semi-supervised-pytorch
Implementations of various VAE-based semi-supervised and generative models in PyTorch