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Making large AI models cheaper, faster and more accessible
XLNet: Generalized Autoregressive Pretraining for Language Understanding
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
The devkit of the nuScenes dataset.
DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf
A paper list of object detection using deep learning.
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Kaggle Competition, Instance Segmentation
KITTI data processing and 3D CNN for Vehicle Detection
Resources of semantic segmantation based on Deep Learning model
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
The Udacity open source self-driving car project
A topic-centric list of HQ open datasets.
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
基于tensorflow开发的YOLO和YOLO9000，提供训练以及测试功能，以VOC2012数据集作为训练/测试集（5000/5000），进行性能检测，同时对比识别性能以及效率
Smart contracts for the Dala token sale and ERC20 token
Ethereum smart contracts for security and utility tokens
智能合约的实例，里面包括简单的代币合约、高级代币合约、众筹合约。
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date …
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.
Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowled…