89 Open source projects that are alternatives of or similar to MutualGuide

noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)

Hardware-accelerated DNN model inference ROS2 packages using NVIDIA Triton/TensorRT for both Jetson and x86_64 with CUDA-capable GPU

Model optimizer used in Adlik.

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Code and resources on scalable and efficient Graph Neural Networks

Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

针对pytorch模型的自动化模型结构分析和修改工具集，包含自动分析模型结构的模型压缩算法库

An easy to use PyTorch to TensorRT converter

🚀🚀🚀NVIDIA TensorRT 加速推断教程！

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer) and (cbam，dcn and so on), and tensorrt

Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021

Focal and Global Knowledge Distillation for Detectors (CVPR 2022)

YOLO v3, v4, v5, v6, v7 + SORT tracking + ROS platform. Supporting: YOLO with Darknet, OpenCV(DNN), OpenVINO, TensorRT(tkDNN). SORT supports python(original) and C++. (Not Deep SORT)

Reimplementing cool papers in PyTorch...

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

ZSKD with PyTorch

InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.

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 …

Authors official PyTorch implementation of the "DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval" [IJCV 2022]

Deep learning gateway on Raspberry Pi and other edge devices

Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)

PyTorch ,ONNX and TensorRT implementation of YOLOv4

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

Awesome Knowledge Distillation

tensorRt-inference darknet2onnx pytorch2onnx mxnet2onnx python version

No description or website provided.

The codes for recent knowledge distillation algorithms and benchmark results via TF2.0 low-level API

The purpose of this project is to apply mediapipe to more AI chips.

BigGAN; Knowledge Distillation; Black-Box; Fast Training; 16x compression

This is the implementation that supports yolov5s, yolov5m, yolov5l, yolov5x.

Efficient-Computing

TensorRT int8 量化部署 yolov5s 模型，实测3.3ms一帧！

This is the official implementation for the AAAI-2021 paper (Cross-Layer Distillation with Semantic Calibration).

EfficientNetv2 TensorRT int8

A Fast Knowledge Distillation Framework for Visual Recognition

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

OpenMMLab Model Compression Toolbox and Benchmark.

An Object Detection Knowledge Distillation framework powered by pytorch, now having SSD and yolov5.

Mobile(iOS) Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.

This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT

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

Sample apps to demonstrate how to deploy models trained with TAO on DeepStream

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Localization Distillation for Dense Object Detection (CVPR 2022)

Implementation of popular deep learning networks with TensorRT network definition API

Real-time hand pose estimation and gesture classification using TensorRT

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

YOLOv4 object detector using TensorRT engine

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

nanodet int8 量化，实测推理2ms一帧！

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

Research code for ACL 2020 paper: "Distilling Knowledge Learned in BERT for Text Generation".

This is a highly separated deployment project based on Deepstream , including the full range of Yolo and continuously expanding deployment projects such as Ocr.

Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.

pnn is Darknet compatible neural nets inference engine implemented in Rust.

Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

PyTorch Project Specification.

Knowledge Distillation using Tensorflow