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Feb 4, 2022 - CSS
#
accuracy
Here are 299 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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Apr 3, 2022 - 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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Mar 31, 2022 - Python
Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)
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Nov 29, 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#
feature
This is / would be a new feature for the App
good first issue
This issue is relatively simple, thus is good for new developers as first contribution
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
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.
esp32
accuracy
espressif
isr
non-blocking
timers
interrupt
timer-interrupt
millis
mission-critical
esp32-arduino
arduino-libraries
hardware-timers
timerinterrupt
timerinterrupt-library
mission-critical-tasks
esp32-s2
esp32-c3
esp32-s3
isr-based-timer
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Mar 14, 2022 - C
math with more good bits
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Apr 1, 2022 - Julia
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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Mar 30, 2022 - TypeScript
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Sep 6, 2021 - Python
Read the BME680 sensor with the BSEC library on Linux (e.g. Raspberry Pi)
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Nov 14, 2021 - C
[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++
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
accuracy
espressif
isr
non-blocking
timers
interrupt
esp8266-arduino
millis
mission-critical
arduino-libraries
hardware-timers
timerinterrupt
timerinterrupt-library
isr-based-timer
one-shot-timer
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Mar 14, 2022 - 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)
good first issue
Good for newcomers
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
extended precision math, accurate and performant
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Feb 9, 2022 - Julia
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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Feb 22, 2022 - C
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
Portable set of log collection and visualization tools
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Jan 14, 2022 - CMake
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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Sep 27, 2021 - Jupyter Notebook
Unofficial Pytorch implementation of Deep Compression in CIFAR10
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Sep 24, 2021 - Python
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
Evaluate results from ASR/Speech-to-Text quickly
diff
statistics
evaluation
comparison
speech-recognition
accuracy
words
speech-to-text
stt
difference
asr
mismatches
wer
word-error-rate
transcriptions
punctuations
insertions
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Dec 28, 2021 - JavaScript
Code for the paper On Using Transfer Learning For Plant Disease Detection
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Jun 5, 2021 - Jupyter Notebook
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
Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation applied
machine-learning
detection
machine-learning-algorithms
naive-bayes-classifier
accuracy
logistic-regression
diabetes
support-vector-machines
health-data
knn-classification
random-forest-classifier
diabetes-detection
diabetes-prediction
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Apr 22, 2019 - Jupyter Notebook
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Hello,
I'd like to copy Lat/Lon values into the clipboard buffer or directly extract those values to share with a text messaging app.
This is for emergency or at least for requesting assistance simply.
The coordinates are currently displayed but the values may not be copied.
I'd suggest a long press on the lat/lon display bring the standard Android copy menu.
Thank you.