Google Research

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

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 genera…

Google Brain AutoML

搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

An annotated implementation of the Transformer paper.

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

[ICCV 2019] Monocular depth estimation from a single image

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

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

Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral

Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

ai challenger 2018细粒度情感分类第一名解决方案, A training framework itegrating tensorflow and pytorch

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

Face Renderer to perform Domain (Face) Specific Data Augmentation

Code for CVPR'19 paper Linkage-based Face Clustering via GCN

A framework for blind denoising with self-supervision.

Source Code for FINCH Clustering Algorithm

PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss

computational zoom from raw sensor data

Simple Training and Deployment of Fast End-to-End Binary Networks

A lightweight convolutional neural network

Code for the CVPR paper "CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth"

Recognizing the genre of music files using machine learning and deep learning models

This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)

Caffe implementation of Mobilenet-SSD face detector (NCS compatible)

Training Low-bits DNNs with Stochastic Quantization

Kissing Detector - CS231n project