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May 26, 2021 - CSS
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accuracy
Here are 255 public repositories matching this topic...
Accurately Locate Smartphones using Social Engineering
A new data structure for accurate on-line accumulation of rank-based statistics such as quantiles and trimmed means
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Jun 21, 2021 - Java
Multi-class confusion matrix library in Python
data-science
data
machine-learning
data-mining
statistics
ai
deep-learning
neural-network
matrix
evaluation
mathematics
ml
artificial-intelligence
statistical-analysis
classification
accuracy
data-analysis
deeplearning
confusion-matrix
multiclass-classification
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Jul 19, 2021 - Python
Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)
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Jul 11, 2021 - Python
2D Geometry for Unity. Suited for everyday polygon hassle. Polygon clipping, polygon winding direction, polygon area, polygon centroid, centroid of multiple polygons, line intersection, point-line distance, segment intersection, polygon-point containment, polygon triangulation, polygon Voronoi diagram, polygon offset, polygon outline, polygon buffer, polygon union, polygon substraction, polygon boolean operations, and more. It is a polygon fest.
segment
unity
geometry
triangulation
scene
polygon
accuracy
intersection
voronoi-diagram
clipping
voronoi
clipper
distance-calculation
intersection-point
intersect
centroid
buffering
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Jan 26, 2018 - C#
Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):
android
windows
linux
caffe
json-api
opencl
cuda
resources
accuracy
performance-portability
costs
reproducible-experiments
collective-knowledge
portable-package-manager
dnn-as-a-service
dnn-optimization
collaborative-optimization
customizable-workflows
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Nov 6, 2019 - CMake
Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)
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Nov 3, 2016 - Python
Breast Cancer Classification using CNN and transfer learning
deep-neural-networks
deep-learning
neural-network
accuracy
convolutional-neural-networks
cnn-classification
roc-auc
breast-cancer-classification
benign-vs-malignant
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Jun 7, 2021 - Jupyter Notebook
math with more good bits
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Jul 5, 2021 - Julia
This library enables you to use Interrupt from Hardware Timers on an ESP32-based board. It now supports 16 ISR-based timers, while consuming only 1 hardware Timer. Timers' interval is very long (ulong millisecs). The most important feature is they're ISR-based timers. Therefore, their executions are not blocked by bad-behaving functions or tasks. This important feature is absolutely necessary for mission-critical tasks.
board
measure
esp32
wifi
loop
accuracy
espressif
isr
non-blocking
timers
interrupt
millis
mission-critical
esp32-arduino
esp32-library
arduino-libraries
hardware-timers
timerinterrupt
timerinterrupt-library
mission-critical-tasks
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Jul 20, 2021 - C++
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Jul 20, 2021 - Python
Read the BME680 sensor with the BSEC library on Linux (e.g. Raspberry Pi)
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Feb 22, 2021 - C
ViniciusBTavares
commented
Nov 25, 2019
Permitir configurar layout do teclado, ou então ter opções já prontas, tipo Normal ou Invertido!
Seria muito útil, porque no meu caso por exemplo que utilizo a placa do Eduardo 'Dumpa' o teclado está invertido, Bomba na tecla da esquerda. (Obs.: Ele já me forneceu o arquivo para correção)
[Neurocomputing 2019] Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion
fast
journal
video
efficiency
keyframe
robust
accuracy
action-recognition
hand-gestures
video-classification
video-recognition
hand-gesture-recognition
action-classification
feature-fusion
neurocomputing
key-frames-extraction
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Jul 25, 2021 - C++
Caffe Squeezenet model for binary classification of pornographic/non-pornographic material
neural-network
neural-networks
accuracy
squeezenet
content-filtering
pornography
nudity
caffe-squeezenet-model
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Feb 14, 2020
This library enables you to use Interrupt from Hardware Timers on an ESP8266-based board. It now supports 16 ISR-based timers, while consuming only 1 hardware Timer. Timers' interval is very long (ulong millisecs). The most important feature is they're ISR-based timers. Therefore, their executions are not blocked by bad-behaving functions or tasks. This important feature is absolutely necessary for mission-critical tasks.
arduino
esp8266
board
delay
wifi
loop
accuracy
espressif
isr
non-blocking
timers
interrupt
esp8266-arduino
millis
mission-critical
arduino-libraries
hardware-timers
timerinterrupt
timerinterrupt-library
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Jul 20, 2021 - C++
extended precision math, accurate and performant
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Apr 5, 2021 - Julia
Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 ILSVRC and COCO challenges).
python
training
numpy
ipython-notebook
mnist
image-classification
accuracy
image-recognition
cifar
residual-networks
deep-residual-learning
strider
affine-layer
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Oct 20, 2017 - Python
This package makes it easy for an React Native App to ensure that the Android device's system settings are properly configured for the app's location needs. If your app needs to request location, the device needs to enable the appropriate system settings, such as GPS or Wi-Fi scanning. Rather than directly enabling services such as the device's GPS, your app specifies the required level of accuracy/power consumption, and the device automatically makes the appropriate changes to system settings.
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Jul 21, 2021 - TypeScript
python
ratings
movies
numpy
pandas
python3
kaggle
constraints
netflix
accuracy
collaborative
predictions
rmse
interpretability
movie-ratings
netflix-prize
surprise-library
cinematch
movie-recommendation-netflix
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Jul 23, 2020 - Jupyter Notebook
A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework
deep-learning
cnn
torch
pytorch
neural-networks
classification
accuracy
resnet
transfer-learning
brain
resnet-50
transferlearning
cnn-classification
brain-tumor
braintumour
brain-tumor-classification
brain-tumour
brain-tumor-detection
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Jun 13, 2021 - Jupyter Notebook
This library enables you to use Interrupt from Hardware Timers on an Arduino, such as Nano, UNO, Mega, etc. It now supports 16 ISR-based timers, while consuming only 1 hardware Timer. Timers' interval is very long (ulong millisecs). The most important feature is they're ISR-based timers. Therefore, their executions are not blocked by bad-behaving functions or tasks. This important feature is absolutely necessary for mission-critical tasks.
avr
timer
nano
mega
loop
arduino-library
accuracy
uno
isr
non-blocking
interrupt
micros
millis
mega2560
mission-critical
arduino-libraries
hardware-timers
timerinterrupt
timerinterrupt-library
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Jul 20, 2021 - C++
NextGen DebugView++ that is portable and with better visualization of logs
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Apr 26, 2021 - C++
Genre Classification using Convolutional Neural Networks
music
deep-learning
neural-network
pytorch
dataset
music-information-retrieval
accuracy
transfer-learning
tone
music-genre-classification
fastai
cnn-model
gtzan-dataset
cnn-for-visual-recognition
cnn-classification
genre-classification
music-classification
cnn-pytorch
genre-identification
spectograms
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Nov 16, 2018 - Jupyter Notebook
Unofficial Pytorch implementation of Deep Compression in CIFAR10
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Nov 11, 2019 - Python
YOLT (You Only Look Twice) - a tool that attempts to improve the accuracy of YOLOv4 in images
image-processing
yolo
accuracy
object-detection
photo
yolov1
3d-photo
yolov2
yolov3
yolo-darknet
yolov3-darknet
yolov4
yolov4-darknet
3d-photo-inpainting
object-detector
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May 1, 2020 - Python
Software to visualize detectron training stats
visualization
training
chart
deep-learning
regression
accuracy
loss
caffe2
detectron
training-stats
detectron-trainings-visualization
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Nov 20, 2018 - Java
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Today a user that wants to set a minimum distance between consecutive points collected must set the "Collecting Density", using one of the available values (maximum (0m), 1m, 2m, 5m, 10m or 20m).
We could remove this ugly setting, replacing it with a more friendly and complete Distance Filter.
The user should be able to insert any value (like implemented for the manual altitude correction,