The official implementation of LumiNet: The Bright Side of Perceptual Knowledge Distillation https://arxiv.org/abs/2310.03669

Implementation of "Weight Averaging Improves Knowledge Distillation under Domain Shift" (ICCV 2023 OOD-CV Workshop)

PyTorch code and checkpoints release for OFA-KD: https://arxiv.org/abs/2310.19444

Awesome machine learning model compression research papers, quantization, tools, and learning material.

Awesome Knowledge Distillation

Fast Segment Anything

A simple tool that can generate TensorRT plugin code quickly.

[EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling

DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported …

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

C++ streams for zlib compression, aes encryption and byte serialization

EfficientNetv2 TensorRT int8

Reference models and tools for Cloud TPUs.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Cell segmentation program written in C++

nucleus/cell and histopathology image classification,detection,segmentation

Implementation of popular deep learning networks with TensorRT network definition API

Use 59(Uniform LBP) * 68(Facial Landmark) vector in SVM

Image Segmentation using Texture and Color features in C++

Texture Matching using Local Binary Patterns (LBP)

Texture descriptors based on the co-occurence matrix in opencv

Texture based classification using GLCM and OpenCV

OpenCV frames to a SDL texture

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

TensorRT inference sample for ResNet50

YOLACT execution with TensorRT

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YOLACT execution with TensorRT