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A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Unofficial tools and server implementation for Binance's Model Context Protocol (MCP). Designed to support developers building crypto trading AI Agents.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
AlphaGo Moment for Model Architecture Discovery.
12 Lessons to Get Started Building AI Agents
21 Lessons, Get Started Building with Generative AI
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
📖 A curated list of resources dedicated to Account Abstraction (EIP-4337)
corl-team / CORL
Forked from tinkoff-ai/CORLHigh-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
Learn how to design systems at scale and prepare for system design interviews
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
.NET news, announcements, release notes, and more!
A collection of various deep learning architectures, models, and tips
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
machine learning and deep learning tutorials, articles and other resources