NECLA ML Group (necla-ml)

NECLA ML Group

necla-ml

Geek Repo

NEC Labs America, Machine Learning Group

Location:Princeton, NJ

Home Page:https://www.nec-labs.com/research/machine-learning/

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NECLA ML Group's repositories

SNLI-VE

Dataset and starting code for visual entailment dataset

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Diff-JPEG

Official and maintained implementation of the paper "Differentiable JPEG: The Devil is in the Details" [WACV 2024].

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gen-dnn

A port of Intel(R) MKL-DNN for a non-JIT chip (NEC SX)

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CPR

Official repository for Self-supervised Video Representation Learning with Cascade Positive Retrieval

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cater-h

Hard cater examples from Hopper ICLR paper

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

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ML-WS

This package conatains a KVS producer binding in Python to upload H.264 ES from DeepLens cameras and NUUO NVRs. This the back end code base to interface with devices, VMS and AWS/KVS.

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Deformable-ConvNets-py3

Forked Deformable ConvNets for Python 3

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ML-Vision

ML/CV built on torchvision and more.

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deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

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ve-cmake

CMake toolchain file for NEC SX Aurora Vector Engine (VE)

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ve-ffi

libffi port for NEC Aurora (VE) chip

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ve-jit

VE C and assembler (ncc/nas) JIT utilities and demos.

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amazon-kinesis-video-streams-media-viewer

View HLS and MPEG-DASH output from Amazon Kinesis Video Streams

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debug-test-suites

Fast Few-shot Debugging for NLU Test Suites

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DeepHomography

Content-Aware Unsupervised Deep Homography Estimation

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Deformable-DETR

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

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detr

End-to-End Object Detection with Transformers

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ffmpeg-feedstock

A conda-smithy repository for ffmpeg.

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Lite-HRNet

This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.

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mmdetection

Open MMLab Detection Toolbox and Benchmark

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pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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RAdam

On the Variance of the Adaptive Learning Rate and Beyond

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SiamMask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

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