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alphapose

audio_download_slice

auditok

An audio/acoustic activity detection and audio segmentation tool

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesome-ml

Machine Learning Awesome List

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

cmu-thesis

Code for Yun Wang's PhD Thesis: Polyphonic Sound Event Detection with Weak Labeling

comfort_tool

CBE Thermal Comfort Tool for ASHRAE-55

computelibrary

The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.

dcase2017_task4_cvssp

code for our 1st prize system to win the DCASE2017 task4 challenge

dcase_util

A collection of utilities for Detection and Classification of Acoustic Scenes and Events

deep-learning-har

Convolutional and LSTM networks to classify human activity

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dtw

DTW (Dynamic Time Warping) python module

edgeml

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

esc-50

ESC-50: Dataset for Environmental Sound Classification

face-pose-net

Estimate 3D face pose by a Convolutional Neural Network

face-py-faster-rcnn

Face Detection with the Faster R-CNN

fanwei918.github.io

fisheye-stereo-calibration

:camera: :camera: Fisheye stereo calibration using OpenCV and C++

gans-awesome-applications

Curated list of awesome GAN applications and demo

guitartuner

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-soccer

hao

好东西传送门

hello-world

new

incremental-svm-learning-in-matlab

This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kernel parameter perturbation presented in "SVM Incremental Learning, Adaptation, and Optimization" by Christopher Diehl and Gert Cauwenberghs.

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

keras-tcn

Keras Temporal Convolutional Network.