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OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
OpenMMLab Detection Toolbox and Benchmark
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
Test_case Generator for mlu-ops (https://github.com/Cambricon/mlu-ops).
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
Common utilities for ONNX converters
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可
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ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Efficient operation implementation based on the Cambricon Machine Learning Unit (MLU) .
C++ Library Manager for Windows, Linux, and MacOS
Cross-platform, customizable ML solutions for live and streaming media.
A collection of pre-trained, state-of-the-art models in the ONNX format