ncnn is a high-performance neural network inference framework optimized for the mobile platform
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Updated
Jul 5, 2024 - C++
PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Open3D: A Modern Library for 3D Data Processing
Tengine is a lite, high performance, modular inference engine for embedded device
Transformer related optimization, including BERT, GPT
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and …
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
A retargetable MLIR-based machine learning compiler and runtime toolkit.
C++ library based on tensorrt integration
A deep learning package for many-body potential energy representation and molecular dynamics
Samples and Tools for Windows ML.
Lightning fast C++/CUDA neural network framework
Enabling PyTorch on XLA Devices (e.g. Google TPU)
Deformable Convolutional Networks v2 with Pytorch
🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~
Machine learning on FPGAs using HLS
Created by Facebook's AI Research lab (FAIR)
Released September 2016
Latest release about 1 month ago