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qingqing01's Projects

ai-rank icon ai-rank

面向产业应用的AI开源评测基准

aitemplate icon aitemplate

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

awesome-nas icon awesome-nas

A curated list of neural architecture search (NAS) resources.

caffe icon caffe

Caffe: a fast open framework for deep learning.

chineseocr_lite icon chineseocr_lite

超轻量级中文ocr,支持竖排文字识别, 支持ncnn推理 , dbnet(1.7M) + crnn(6.3M) + anglenet(1.5M) 总模型仅10M

cinn icon cinn

a Compiler Infrastructure for Neural Networks

cutlass icon cutlass

CUDA Templates for Linear Algebra Subroutines

detectron icon detectron

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

detectron2 icon detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

distiller icon distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

docs icon docs

Documentations for PaddlePaddle

droidlet icon droidlet

A modular embodied agent architecture and platform for building embodied agents

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fairseq icon fairseq

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

fb.resnet.torch icon fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

fcn.berkeleyvision.org icon fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

first-order-model icon first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

gotgit icon gotgit

Errata and resources for GotGit: a book about Git in Chinese

hapi icon hapi

hapi is a High-level API that supports both static and dynamic execution modes (still under development)

human-pose-estimation.pytorch icon human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

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