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pytorch-seq2seq

An open source framework for seq2seq models in PyTorch.

pytorch-yolov4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

pytorchocr

基于Pytorch的OCR工具库，支持常用的文字检测和识别算法

qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

rapid

RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images (CVPR 2020 Workshops)

rapidocr

A cross platform OCR Library based on PaddleOCR & OnnxRuntime

relay-bench

A repository containing examples and benchmarks for Relay.

resnetgpt

用Resnet101+GPT搭建一个玩王者荣耀的AI

retinanet-examples

Fast and accurate object detection with end-to-end GPU optimization

s3nas

Fast NPU-aware Neural Architecture Search

savior

(WIP)The deployment framework aims to provide a simple, lightweight, fast integrated, pipelined deployment framework for RPA(Robot Process Automation) that ensures reliability, high concurrency and scalability of services.

scaledyolov4

seq2seq-layout-analysis

end2end layout analysis based seq2seq

shezhangbujianle

借助世界上最大的单体中文NLP大模型，我们做出了一个可以跟人类玩“剧本杀”的AI……

short-video-classification

fast short video classification with mxnet, tensorrt

simplecnnbycpp

For Course CS205 'C/C++ Program Design' at Southern University of Scicence and Technology, China

sodla

Chisel implementation of the NVIDIA Deep Learning Accelerator (NVDLA), with self-driving accelerated

stable-diffusion

stanet

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

taso

The Tensor Algebra SuperOptimizer for Deep Learning

tengine

Tengine is a lite, high performance, modular inference engine for embedded device

tengine-pipe

Tengine 管子是用来快速生产 demo 的辅助工具

tflite-micro

TensorFlow Lite for Microcontrollers

tinyengine

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; MCUNetV3: On-Device Training Under 256KB Memory

tips_for_interview

我的一些面试心得；自学CS历程分享；找工作经验分享

training_toolbox_caffe

Training Toolbox for Caffe

ttnet-real-time-analysis-system-for-table-tennis-pytorch

Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

tvm_mlir_learn

tvm learn

ultra-light-fast-generic-face-detector-1mb

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)