Stars
Cross-platform CLI and Python drivers for AIO liquid coolers and other devices
markdown preview plugin for (neo)vim
Want to handle 100,000 messages in 90 seconds? Celery and Kombu are that awesome - Multiple publisher-subscriber demos for processing json or pickled messages from Redis, RabbitMQ or AWS SQS. Inclu…
Compute the exact 100 nearest neighbors for deep1M, deep10M, and deep100M datasets.
Open Source, Cloud Native, RESTful Search Engine Powered by Neural Networks
Code for the paper "DeepRemaster: Temporal Source-Reference Attention Networks for Comprehensive Video Enhancement". http://iizuka.cs.tsukuba.ac.jp/projects/remastering/
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
vim-be-good is a nvim plugin designed to make you better at Vim Movements.
Mini projects built with HTML5, CSS & JavaScript. No frameworks or libraries
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.
A simple method for face alignment based on wingloss and mutitask learning :)
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
Realtime human head pose estimation with ONNXRuntime and OpenCV.
Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering
Estimate 3D face pose (6DoF) or 11 parameters of 3x4 projection matrix by a Convolutional Neural Network
Serve machine learning models using tensorflow serving
A library for efficient similarity search and clustering of dense vectors.
Collection of notebooks and scripts related to audio processing and machine learning.
Include some core functions and model to handle speech separation
Deep neural networks for separating singing voice from music written in TensorFlow
Simple TimeDistributed() wrapper Demo in Keras; sums images of MNIST digits
Semantic Instance Segmentation with a Discriminative Loss Function in PyTorch
Few Shot Learning by Siamese Networks, using Keras.
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"