Adamu A.S (adamuas)

adamuas

Geek Repo

Company:Sony

Location:London

Github PK Tool:Github PK Tool

Adamu A.S's repositories

voicefilter

Unofficial PyTorch implementation of Google AI's VoiceFilter system

Stargazers:0Issues:0Issues:0

image-super-resolution

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

License:Apache-2.0Stargazers:0Issues:0Issues:0

yolo-rs

Yolov3 & Yolov4 with TVM and rust

Stargazers:0Issues:0Issues:0

collections

This package contains JavaScript implementations of common data structures with idiomatic interfaces.

License:NOASSERTIONStargazers:0Issues:0Issues:0

docker-airflow

Docker Apache Airflow

License:Apache-2.0Stargazers:0Issues:0Issues:0

intuitive_intro_to_ann_ml

An Intuitive Introduction to Artificial Neural Network and Machine Learning

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

darknet-neural-net-config-generator

Darknet Neural Network Configuration File Generator

Language:PythonLicense:MITStargazers:1Issues:0Issues:0

deeplearning-models

A collection of various deep learning architectures, models, and tips

License:MITStargazers:0Issues:0Issues:0

mat-range-datepicker

Material Datepicker with range selection

License:MITStargazers:0Issues:0Issues:0

recommenders

Best Practices on Recommendation Systems

License:MITStargazers:0Issues:0Issues:0

bert-for-tf2

A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

kibana

Your window into the Elastic Stack

License:NOASSERTIONStargazers:0Issues:0Issues:0

docker-elk

The ELK stack powered by Docker and Compose.

License:MITStargazers:0Issues:0Issues:0

coevondm

CoevoNDM - An implementation of Co-operative Co-evolution for evolving the various architectural components of Artificial Neural Networks. Specifically, this involves evolving the weights, topology and choice of activation functions for each unit of the Artificial Neural Network. I released this code sometime before my PhD viva in 2016.

Language:PythonStargazers:0Issues:0Issues:0

Deep-One-Shot-Logo-Retrieval

A Deep One-Shot Network for Query-based Logo Retrieval [Pattern Recognition 2019, Elsevier]

Stargazers:0Issues:0Issues:0

yolov3-tf2

YoloV3 Implemented in Tensorflow 2.0

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

gitignore

A collection of useful .gitignore templates

License:CC0-1.0Stargazers:0Issues:0Issues:0

darknet

Convolutional Neural Networks

Language:CLicense:NOASSERTIONStargazers:0Issues:0Issues:0

datasets

A set of benchmarks for Machine learning. I used these for training and evaluating my artificial neural networks.

Language:PerlStargazers:0Issues:0Issues:0

milq

Useful code of Manuel Ignacio López Quintero

Language:PHPLicense:MITStargazers:0Issues:0Issues:0

cuda

CUDA code for evolutionary optimization of neural network weights. I used this to evolve the weights of artificial neural networks that I was working on during my PhD in 2016.

Language:PythonStargazers:0Issues:0Issues:0

gym

A toolkit for developing and comparing reinforcement learning algorithms.

Language:PythonLicense:NOASSERTIONStargazers:0Issues:0Issues:0

docker

My Docker scripts and Dockerfile for several frameworks.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

tensorflow-DeepFM

Tensorflow implementation of DeepFM for CTR prediction.

License:MITStargazers:0Issues:0Issues:0
Language:ShellStargazers:0Issues:0Issues:0

mobile-wallet

A reference implementation of Mifos platform wallet and payment capabilities

Language:JavaStargazers:0Issues:0Issues:0

ssd_keras

A Keras implementation of SSD

Language:PythonLicense:GPL-3.0Stargazers:0Issues:0Issues:0

dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

Language:PythonStargazers:0Issues:0Issues:0

nginx

An official read-only mirror of http://hg.nginx.org/nginx/ which is updated hourly. Pull requests on GitHub cannot be accepted and will be automatically closed. The proper way to submit changes to nginx is via the nginx development mailing list, see http://nginx.org/en/docs/contributing_changes.html

Language:CStargazers:0Issues:0Issues:0