Chainalysis launches Workflows, a no-code tool automating blockchain data analytics without requiring SQL or Python expertise.

Srinivas grew up in a middle-class Indian family and was inspired by his mother to aim for the Indian Institute of Technology ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

The Python Software Foundation (PSF) has an extra $1.5 million heading its way, after AI upstart Anthropic entered into a ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind Adadelta, why it was introduced as an improvement over Adagrad, and guides you ...

00 - PyTorch Fundamentals Many fundamental PyTorch operations used for deep learning and neural networks. Go to exercises & extra-curriculum Go to slides 01 - PyTorch Workflow Provides an outline for ...

DR Tulu-8B is the first open Deep Research (DR) model trained for long-form DR tasks. DR Tulu-8B matches OpenAI DR on long-form DR benchmarks. agent/: Agent library (dr-agent-lib) with MCP-based tool ...