This talk would cover all about the development sprint which has been hidden weapon of Python community that helps us to have a healthy ecosystem. In this talk, I’ll show the history of development sprint, how it helps us become a strong and diverse community, and how can you host your own development sprint along…

The recent trends in distributed Deep Learning and how distributed system can both massively reduce training time and enable parallelisation. I will introduce different distributed deep learning paradigms, including model-level parallelism and data-level parallelism, and demonstrate how data parallelism can be used for distributed training.In next iteration phase of deep learning there will be need…

In this talk I will demonstrate how to create Artificial Life in a computer using Python and its wonderful libraries. The Python program, called “Lenia”, is developed to discover/evolve new life species, using its interactive UI to facilitate Evolutionary Algorithms (EA). A video recorded from the program won the Virtual Creatures Contest in GECCO conference…

Do you know that Slack knows that Integration and API are easy to use and are hackable collaboration platform? Even Python is able to easily make chatbot by using slackbot ( https://github.com/lins05/slackbot ) . With using this framework, you are able to let slackbot perform a Python process triggered by a mention or a keyword…

Part 1 – Digitizing documents with powerful python libraries So.. in the digital era you suddenly realise that until very recently not all valuable information kept is/was machine friendly, there are tons of word and pdf documents with reports, meetings minutes, contracts and so-on waiting to be re-discovered. With python libraries PdfMiner, PyPDF2 among others,…

Introduction of super resolution with deep learning techniques. Super resolution is a technique which serve low- resolution image as input and outputs high-resolution images. How to preserve edges and restore detail information in the high-resolution image is very important. In this talk, we will discuss the developments of super resolution, especially methods using deep learning…

Apache Kafka is widely used in large scale message processing applications. However, build a (job|task|work) processing system with Kafka is not straightforward. The talk will share experience on building a heterogeneous Job processing with Kafka and Python. The mentioned job processing mechanism can be made use of to several scenarios, e.g., cloud resource provisioning, tiering…

Machine learning is now widely used in different applications. In some cases, it is sufficient to generate batch results using machine learning models in an offline manner. However, in other cases, models must be deployed online in a production environment, such that end users or other system components can benefit from the real-time outputs of…

This talk is to encourage audiences start solving problems in their everyday’s life by building IoT systems with Python, Raspberry Pi and sensors. The technologies being used in the project of this talk is not difficult, but when every pieces of technology comes together, we can create something that actually helps. Agenda: 1. Demo video…

The objective of the talk is to provide an introduction of how artificial intelligence could be applied in stock trading. This session will introduce how to use Python to extract historical open-high-low-close (OHLC) data, perform data processing, recognise patterns in the stock market with artificial intelligence algorithms and eventually backtest the strategy.  The talk will…