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An inspiration engine for ideas
Lean Engine:
An open-source algorithmic trading engine built for easy strategy research, backtesting, and live trading.
(And they're hiring.)
Get the code on GitHub: https://t.co/wO1YWIogJs
François Chollet’s core point: We can't measure an AI system's adaptability and flexibility by measuring a specific skill.
With unlimited data, models memorize decisions. To advance AGI we need to quantify and measure ***skill-acquisition efficiency***.
Let’s dig in👇 https://t.co/Y3GjoG9n4e
After 6+ months in the making and burning over a year of GPU compute time, we're super excited to finally release the "Ultra-Scale Playbook"
Check it out here: https://t.co/dekxY4BQZO
A free, open-source, book to learn everything about 5D parallelism, ZeRO, fast CUDA kernels, how and why... See more
VanillaNet: the Power of Minimalism in Deep Learning
Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao
tl;dr: 4x4conv/4->n x {1x1conv->{seriesAct}->MaxPool2x2}.
seriesAct = stack of BN(ReLU(BN(ReLU)))
https://t.co/XagNt0jNLx https://t.co/yRXoz6Q4x7
François Chollet says OpenAI's o1 model is running a search process in the space of possible chain of thought, generating a natural language program and adapting to novelty in a "genuine breakthrough" showing progress "far beyond the classical deep learning paradigm" https://t.co/rfXorf9ti5
Tsarathustrax.com
A cutting edge technique called Hierarchical Risk Parity (HRP) uses graph theory and machine learning to build a hierarchical structure of the investments.
Here’s a quick primer how it works:
PyQuant News 🐍x.com
150 pages review paper on the applications of machine learning in finance.
https://t.co/juXVj1Osfo
#machinelearning #finance https://t.co/RL1cTYGtgI