Insightface Just WorksInsightface face detection and recognition model that just works out of the box.
Stars: ✭ 127 (-37.13%)
Getting Things Done With PytorchJupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Stars: ✭ 738 (+265.35%)
Autocrop😌 Automatically detects and crops faces from batches of pictures.
Stars: ✭ 320 (+58.42%)
Face ClassificationFace model to classify gender and race. Trained on LFWA+ Dataset.
Stars: ✭ 104 (-48.51%)
OwnphotosSelf hosted alternative to Google Photos
Stars: ✭ 2,587 (+1180.69%)
Mtcnn PytorchJoint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
Stars: ✭ 531 (+162.87%)
SpherefaceImplementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
Stars: ✭ 1,483 (+634.16%)
Deep Face RecognitionOne-shot Learning and deep face recognition notebooks and workshop materials
Stars: ✭ 147 (-27.23%)
Allensdkcode for reading and processing Allen Institute for Brain Science data
Stars: ✭ 200 (-0.99%)
MarvelMarvel - Face Recognition With Android & OpenCV
Stars: ✭ 199 (-1.49%)
PysonarDecentralized Machine Learning Client
Stars: ✭ 199 (-1.49%)
MgcnnMulti-Graph Convolutional Neural Networks
Stars: ✭ 199 (-1.49%)
Lsstc Dsfp SessionsLecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program
Stars: ✭ 201 (-0.5%)
Trading GymThis trading-gym is the first trading for agent to train with episode of short term trading itself.
Stars: ✭ 194 (-3.96%)
Go TfliteGo binding for TensorFlow Lite
Stars: ✭ 199 (-1.49%)
Image To 3d BboxBuild a CNN network to predict 3D bounding box of car from 2D image.
Stars: ✭ 200 (-0.99%)
Nas fpn tensorflowNAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.
Stars: ✭ 198 (-1.98%)
FastpagesAn easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Stars: ✭ 2,888 (+1329.7%)
Trump LiesTutorial: Web scraping in Python with Beautiful Soup
Stars: ✭ 201 (-0.5%)
Vdom🎄 Virtual DOM for Python
Stars: ✭ 200 (-0.99%)
DatacollectA collection of tools to collect and download various data.
Stars: ✭ 198 (-1.98%)
Neuralnetworks.thought ExperimentsObservations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
Stars: ✭ 199 (-1.49%)
RosettaTools, wrappers, etc... for data science with a concentration on text processing
Stars: ✭ 200 (-0.99%)
Datascience책) 파이썬으로 데이터 주무르기 - 소스코드 및 데이터 공개
Stars: ✭ 199 (-1.49%)
Spark PracticeApache Spark (PySpark) Practice on Real Data
Stars: ✭ 200 (-0.99%)
RadioRadIO is a library for data science research of computed tomography imaging
Stars: ✭ 198 (-1.98%)
Ml LessonsIntro to deep learning for medical imaging lesson, by MD.ai
Stars: ✭ 199 (-1.49%)
RopstenRopsten public testnet PoW chain
Stars: ✭ 199 (-1.49%)
W Netw-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.
Stars: ✭ 200 (-0.99%)
Graph NotebookLibrary extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.
Stars: ✭ 199 (-1.49%)
Traffic Sign DetectionTraffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
Stars: ✭ 200 (-0.99%)
IntegratedgradientsPython/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
Stars: ✭ 197 (-2.48%)
Pratik Derin Ogrenme UygulamalariÇeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.
Stars: ✭ 200 (-0.99%)
Up Down CaptionerAutomatic image captioning model based on Caffe, using features from bottom-up attention.
Stars: ✭ 195 (-3.47%)
Atari Model ZooA binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
Stars: ✭ 198 (-1.98%)
Text detectorText detection model that combines Retinanet with textboxes++ for OCR
Stars: ✭ 198 (-1.98%)
EchomodsOpen source ultrasound processing modules and building blocks
Stars: ✭ 200 (-0.99%)
Medium articlesScripts/Notebooks used for my articles published on Medium
Stars: ✭ 199 (-1.49%)
MlCodes related to various ML Hackathons
Stars: ✭ 197 (-2.48%)
Analytics ZooDistributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
Stars: ✭ 2,448 (+1111.88%)
Gpt 2 Colabretrain gpt-2 in colab
Stars: ✭ 200 (-0.99%)
MiscellaneousScripts and code examples. Includes Spark notes, Jupyter notebook examples for Spark, Impala and Oracle.
Stars: ✭ 197 (-2.48%)