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A Comparative Framework for Multimodal Recommender Systems
Best Practices on Recommendation Systems
TRACARDI is a new HOME for your customer data. TRACARDI is an Composable API-first solution for any company that need inexpensive CDP to intergrate with.
🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.
Orchestrate Spark Jobs from Kubeflow Pipelines and poll for the status.
FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding
Repository containing odoo docker and custom add-ons
Ready-to-run Docker images containing Jupyter applications
messakali / pyScanLib
Forked from ndp-systemes/pyScanLibAn combination of Twain and SANE API
Goal-Oriented Chatbot trained with Deep Reinforcement Learning
Simple yet powerful Odoo image for Docker based on OCB code and maintained by Elico Corporation.
Django package to log request values such as device, IP address, user CPU time, system CPU time, No of queries, SQL time, no of cache calls, missing, setting data cache calls for a particular URL w…
implement CRNN in Keras with Spatial Transformer Network
The Docker-based Open edX distribution designed for peace of mind
Source code for the blog post on the evolution of the asset allocation methods
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
A simple application for stock data and portfolio tracking
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
face detection, verification and recognition using Keras
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
This is a template for creating a Machine Learning application with its front-end developed using React which interacts with a Flask service as the back-end and makes predictions.
An educational AI robot based on NVIDIA Jetson Nano.
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Custom Products Grid in Magento 2 Admin Module
This machine learning model (deep and wide learning model) helps us to implement dynamic pricing feature of a supply chain business problem. This model uses tensorflow to solve the problem and can …
Dynamic pricing for selling perishable goods