This repo contains code accompaning the paper, Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (Finn et al., ICML 2017). It includes code for running the few-shot supervised learning ...

Hy 2 DL is a python library to create hydrological models for rainfall-runoff prediction using deep learning methods. The repository includes implementations with Large-Sample Hydrology datasets such ...

VS Code can use LLM models other than GitHub Copilot’s built-in providers for AI-assisted development, including local and ...

Abstract: Transformer-based models have demonstrated state-of-the-art performance in various intelligent coding tasks such as code comment generation and code completion. Previous studies show that ...

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...

Abstract: Adversarial examples represent a serious threat for deep neural networks in several application domains and a huge amount of work has been produced to investigate them and mitigate their ...

Enterprises in India face up to 11,000 compliance instances annually from over 3.2 million regulatory websites. TeamLease RegTech is deploying AI to shift compliance from reactive record-keeping to ...

Chinese AI models have priced their APIs 5–10x lower than those of Anthropic and OpenAI. But is that sustainable? Chinese AI models are significantly underpricing their APIs compared to US ...

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.