Yakirbe's Stars
astorfi/lip-reading-deeplearning
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
TheDatumOrg/kshape-python
Python implementation of k-Shape
openimages/dataset
The Open Images dataset
dask/dask-ml
Scalable Machine Learning with Dask
dask/dask
Parallel computing with task scheduling
jmcarpenter2/swifter
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
MVIG-SJTU/AlphaPose
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
XifengGuo/DEC-keras
Keras implementation for Deep Embedding Clustering (DEC)
google-deepmind/kinetics-i3d
Convolutional neural network model for video classification trained on the Kinetics dataset.
kcct-fujimotolab/3DCNN
3D convolutional neural network for video classification
polyaxon/polyaxon
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
facebookarchive/C3D
C3D is a modified version of BVLC caffe to support 3D ConvNets.
chen0040/keras-anomaly-detection
Anomaly detection implemented in Keras
wangheda/youtube-8m
The 2nd place Solution to the Youtube-8M Video Understanding Challenge by Team Monkeytyping (based on tensorflow)
tensorflow/tensorboard
TensorFlow's Visualization Toolkit
lanpa/tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
kenshohara/video-classification-3d-cnn-pytorch
Video classification tools using 3D ResNet
apache/spark
Apache Spark - A unified analytics engine for large-scale data processing
hibayesian/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
studioml/studio
Studio: Simplify and expedite model building process
IDSIA/sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
jalapic/engsoccerdata
English and European soccer results 1871-2022
llSourcell/Predicting_Winning_Teams
This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube
tensorflow/adanet
Fast and flexible AutoML with learning guarantees.
automl/auto-sklearn
Automated Machine Learning with scikit-learn
keras-team/autokeras
AutoML library for deep learning
keras-rl/keras-rl
Deep Reinforcement Learning for Keras.
WillKoehrsen/feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
hugomathien/football-data-collection
Web Scraper used to create Kaggle European Soccer database