ntua-slp-semeval2018Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
Stars: ✭ 79 (+31.67%)
linbaserThe program on a given grid from a file builds an approximation of the function by a piecewise linear basis. Made mostly in Russian, because of university subject.
Stars: ✭ 10 (-83.33%)
hfusionMultimodal sentiment analysis using hierarchical fusion with context modeling
Stars: ✭ 42 (-30%)
NumPyANNImplementation of Artificial Neural Networks using NumPy
Stars: ✭ 85 (+41.67%)
SciCompforChemistsScientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.
Stars: ✭ 65 (+8.33%)
covid-19Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.
Stars: ✭ 14 (-76.67%)
Data-Wrangling-with-PythonSimplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices
Stars: ✭ 90 (+50%)
GStreamer-PythonFetch RTSP Stream using GStreamer in Python and get image in Numpy
Stars: ✭ 81 (+35%)
equilib🌎→🗾Equirectangular (360/panoramic) image processing library for Python with minimal dependencies only using Numpy and PyTorch
Stars: ✭ 43 (-28.33%)
galoisA performant NumPy extension for Galois fields and their applications
Stars: ✭ 106 (+76.67%)
converseConversational text Analysis using various NLP techniques
Stars: ✭ 147 (+145%)
PyTorch.docsOffline documentation built from official PyTorch release
Stars: ✭ 105 (+75%)
EmotiW2018No description or website provided.
Stars: ✭ 83 (+38.33%)
seapyState Estimation and Analysis in Python
Stars: ✭ 25 (-58.33%)
emotion-recognition-GANThis project is a semi-supervised approach to detect emotions on faces in-the-wild using GAN
Stars: ✭ 20 (-66.67%)
npbenchNPBench - A Benchmarking Suite for High-Performance NumPy
Stars: ✭ 40 (-33.33%)
TSceptionPyTorch implementation of TSception
Stars: ✭ 52 (-13.33%)
dsp-theoryTheory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Stars: ✭ 643 (+971.67%)
datasets🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Stars: ✭ 13,870 (+23016.67%)
spyndexAwesome Spectral Indices in Python.
Stars: ✭ 56 (-6.67%)
Mimic Me CV GameThis repo hold the code of a simple, fun game built using Affectiva's Emotion-as-a-Service API. An Emoji is shown on the screen and one has to mimic the emoji to score points.
Stars: ✭ 20 (-66.67%)
NDScalaN-dimensional arrays in Scala 3. Think NumPy ndarray, but type-safe over shapes, array/axis labels & numeric data types
Stars: ✭ 37 (-38.33%)
BlockAn intelligent block matrix library for numpy, PyTorch, and beyond.
Stars: ✭ 254 (+323.33%)
SNNs-In-TensorflowImplementation of a Spiking Neural Network in Tensorflow.
Stars: ✭ 24 (-60%)
EinopsDeep learning operations reinvented (for pytorch, tensorflow, jax and others)
Stars: ✭ 4,022 (+6603.33%)
Jetson ContainersMachine Learning Containers for NVIDIA Jetson and JetPack-L4T
Stars: ✭ 223 (+271.67%)
ormsgpackMsgpack serialization/deserialization library for Python, written in Rust using PyO3 and rust-msgpack. Reboot of orjson. msgpack.org[Python]
Stars: ✭ 88 (+46.67%)
Bootcamp pythonBootcamp to learn Python for Machine Learning
Stars: ✭ 228 (+280%)
audiophileAudio fingerprinting and recognition
Stars: ✭ 17 (-71.67%)
AIML-Human-Attributes-Detection-with-Facial-Feature-ExtractionThis is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.
Stars: ✭ 48 (-20%)
Ml Feynman ExperienceA collection of analytics methods implemented with Python on Google Colab
Stars: ✭ 217 (+261.67%)
saddleSADDLE: Scala Data Library
Stars: ✭ 23 (-61.67%)
Python Wechat Itchat微信机器人,基于Python itchat接口功能实例展示:01-itchat获取微信好友或者微信群分享文章、02-itchat获取微信公众号文章、03-itchat监听微信公众号发送的文章、04 itchat监听微信群或好友撤回的消息、05 itchat获得微信好友信息以及表图对比、06 python打印出微信被删除好友、07 itchat自动回复好友、08 itchat微信好友个性签名词云图、09 itchat微信好友性别比例、10 微信群或微信好友撤回消息拦截、11 itchat微信群或好友之间转发消息
Stars: ✭ 216 (+260%)
python-awipsA framework for querying AWIPS meteorological datasets from an EDEX Data Server.
Stars: ✭ 31 (-48.33%)
PysrSimple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing
Stars: ✭ 213 (+255%)
SimplePythonCNNOnly in native python & numpy with Keras interface
Stars: ✭ 31 (-48.33%)
BohriumAutomatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX
Stars: ✭ 209 (+248.33%)
wavioA Python module for reading and writing WAV files using numpy arrays.
Stars: ✭ 119 (+98.33%)
WindroseA Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution
Stars: ✭ 208 (+246.67%)
PVMismatchAn explicit Python PV system IV & PV curve trace calculator which can also calculate mismatch.
Stars: ✭ 51 (-15%)
Nptyping💡 Type hints for Numpy
Stars: ✭ 204 (+240%)
fdtdA 3D electromagnetic FDTD simulator written in Python
Stars: ✭ 195 (+225%)
AGHMNImplementation of the paper "Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network" in AAAI-2020.
Stars: ✭ 25 (-58.33%)
XEDXED multilingual emotion datasets
Stars: ✭ 34 (-43.33%)
EmotionChallengeSource code for 1st winner of face micro-emotion competition, FG 2017.
Stars: ✭ 37 (-38.33%)
m3f.pytorchPyTorch code for "M³T: Multi-Modal Multi-Task Learning for Continuous Valence-Arousal Estimation"
Stars: ✭ 20 (-66.67%)
soxanWav2Vec for speech recognition, classification, and audio classification
Stars: ✭ 113 (+88.33%)
datascienvdatascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
Stars: ✭ 53 (-11.67%)