zhouleidcc,github

sphereface-plus

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

srn-deblur

Repository for Scale-recurrent Network for Deep Image Deblurring

sst

Codes for “Fully Sparse 3D Object Detection” & “Embracing Single Stride 3D Object Detector with Sparse Transformer”

synchronized-batchnorm-pytorch

Synchronized Batch Normalization implementation in PyTorch.

tengine

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

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow_end2end_speech_recognition

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

NVIDIA® TensorRT™, an SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications.

tensorrt-dcnv2-plugin

基于TensorRT7实现DCNv2插件

tensorrt-example

TensorRT6 offical python and c++ examples.

tensorrt-llm

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.