lanka's repositories

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

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OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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PaddleSeg

End-to-end image segmentation kit based on PaddlePaddle.

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PINTO_model_zoo

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin]

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torch2trt

An easy to use PyTorch to TensorRT converter

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tflite_gles_app

GPU accelerated deep learning inference applications for RaspberryPi / JetsonNano / Linux PC using TensorflowLite GPUDelegate / TensorRT

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dataset-api

The ApolloScape Open Dataset for Autonomous Driving and its Application.

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oneDNN

oneAPI Deep Neural Network Library (oneDNN)

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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awesome-action-recognition

A curated list of action recognition and related area resources

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BundleFusion

[Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration

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VINS-Fusion

An optimization-based multi-sensor state estimator

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TanksAndTemples

Toolbox for the TanksAndTemples benchmark website

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Keras-OneClassAnomalyDetection

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

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tensorflow-yolov3

🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset

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models-1

A collection of pre-trained, state-of-the-art models in the ONNX format

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EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

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keras-retinanet

Keras implementation of RetinaNet object detection.

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synopsys-caffe

Additions and patches to Caffe framework for use with Synopsys DesignWare EV6x Processors

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DANet

Dual Attention Network for Scene Segmentation (CVPR2019)

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SENet

Squeeze-and-Excitation Networks

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MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

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Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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Gesture-Recognition

Gesture recognition neural network to classify various hand gestures

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ShuffleNet_V2-caffe

This is caffe implementation of shuffleNet V2

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pytorch-caffe-darknet-convert

convert between pytorch, caffe prototxt/weights and darknet cfg/weights

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CV-Datasets

Collection of open datasets in computer vision.

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LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

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