TensorTrade is an open source Python framework for building, training, evaluating, and deploying robust trading algorithms using reinforcement learning. The framework focuses on being highly composable and extensible, to allow the system to scale from simple trading strategies on a single CPU, to complex investment strategies run on a distribution of HPC machines.

#python, #reinforcement, #learning

Hub is fastest unstructured dataset management for TensorFlow/PyTorch. Stream data real-time & version-control it.

Software 2.0 needs Data 2.0, and Hub delivers it. Most of the time Data Scientists/ML researchers work on data management and preprocessing instead of training models. With Hub, we are fixing this. We store your (even petabyte-scale) datasets as single numpy-like array on the cloud, so you can seamlessly access and work with it from any machine. Hub makes any data type (images, text files, audio, or video) stored in cloud usable as fast as if it were stored on premise. With same dataset view, your team can always be in sync.

#python, #tensorflow, #pytorch, #training, #data, #science, #ml, #ai, #dl, #distributed, #dataset, #mlops

2020 in ML and NLP publications

By conferences, countries, companies, universities and most productive scientists:
https://www.marekrei.com/blog/ml-and-nlp-publications-in-2020/

Deep Learning with PyTorch Quick Start Guide

@datascienceiot

PySyft is a Python library for secure and private Deep Learning. PySyft decouples private data from model training, using Federated Learning, Differential Privacy, and Encrypted Computation (like Multi-Party Computation (MPC) and Homomorphic Encryption (HE) within the main Deep Learning frameworks like PyTorch and TensorFlow.

#python #cryptography #privacy #deeplearning #pytorch #secure #computation

20-21 июля в OTUS пройдет открытый интенсив для тех, кто хочет работать с большими данными. После двухдневного обучения вы сможете выводить модель в продакшн с помошью AWS:
- Узнаете, как использовать lambda и нюансы работы с IoT данными
- Научитесь выводить модель в продакшн без сложных настроек системы
Кроме того, интенсив — это возможность попробовать онлайн-курс «Промышленный ML на больших данных».

https://otus.pw/dh44/

Healthcare Analytics Made Simple

⬇️ Download

@datascienceiot

R and Python for oceanographers

⬇️ Book

@datascienceiot

MiniJinja is a powerful but minimal dependency template engine for Rust which is based on the syntax and behavior of the Jinja2 template engine for Python.

It's implemented on top of serde and only has it as a single dependency. It supports a range of features from Jinja2 including inheritance, filters and more. The goal is that it should be possible to use some templates in Rust programs without the fear of pulling in complex dependencies for a small problem. Additionally it tries not to re-invent something but stay in line with prior art to leverage an already existing ecosystem of editor integrations.

#rust #jinja2 #templates

Researchers discover a material that can learn like the brain

Vanadium Dioxide (VO2), a compound used in electronics, is capable of “remembering” the entire history of previous external stimuli. This is the first material to be identified as possessing this property, although there could be others.
In his experiments, Samizadeh Nikoo applied an electric current to a sample of VO2. “The current moved across the material, following a path until it exited on the other side,” he explains. As the current heated up the sample, it caused the VO2 to change state. And once the current had passed, the material returned to its initial state. Samizadeh Nikoo then applied a second current pulse to the material, and saw that the time it took to change state was directly linked to the history of the material. “The VO2 seemed to ‘remember’ the first phase transition and anticipate the next,” explains Prof. Elison Matioli, who heads the POWERlab. “We didn’t expect to see this kind of memory effect, and it has nothing to do with electronic states but rather with the physical structure of the material. It’s a novel discovery: no other material behaves in this way.”

Well...
That's how Gemini AI works - it's Google's newest LLM.

With all due respect to ChatGPT and Gigachat….

A little scary, to be honest... 😅

@science - share the post please 👌

A Chinese startup, Betavolt, has introduced an innovative 'atomic energy battery' that can generate electricity for 50 years without needing recharging or maintenance. This groundbreaking battery, smaller than a coin, marks a significant advancement in the miniaturization of atomic energy. It's designed for various applications, including mobile phones and drones, potentially allowing these devices to operate indefinitely without charging. This development aligns with China's strategic goals under its 14th Five-Year Plan and represents a major leap in energy innovation.

For more details, you can read the full article on The Independent.

Advanced mathematics

📓 book

@programming_books_it