antonosika starred automl/auto-sklearn: Automated Machine Learning with scikit-learn
Automated Machine Learning with scikit-learn. Stars: 8081
Chronological feed of everything captured from Anton Osika.
Automated Machine Learning with scikit-learn. Stars: 8081
This project is dedicated to collecting high-quality macOS software and organizing them systematically by different categories for easy search and use.. Stars: 102196
The first real AI developer. Stars: 33767
Amplication brings order to the chaos of large-scale software development by creating Golden Paths for developers - streamlined workflows that drive consistency, enable high-quality code practices, simplify onboarding, and accelerate standardized delivery across teams.. Stars: 15989
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.). Stars: 3695
Google Research. Stars: 37728
Instant is the best backend for AI-coded apps. You get auth, permissions, storage, presence, and streams — everything you need to ship apps your users will love.. Stars: 10123
The Go programming language. Stars: 133494
Machine learning with dataframes. Stars: 1592
"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files. Stars: 56666
Financial data platform for analysts, quants and AI agents.. Stars: 65926
🚀 PR Agent - The Original Open-Source PR Reviewer. This repo is not the Qodo free tier! Try the free version on our website. . Stars: 10888
XChange is a Java library providing a streamlined API for interacting with 60+ Bitcoin and Altcoin exchanges providing a consistent interface for trading and accessing market data.. Stars: 4052
An opinionated list of Python frameworks, libraries, tools, and resources. Stars: 292371
Examples built with TensorFlow.js. Stars: 6781
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.. Stars: 186121
Build AI Agents, Visually. Stars: 51849
A scalable, distributed, collaborative, document-graph database, for the realtime web. Stars: 31834
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. . Stars: 159287
Low-code framework for building custom LLMs, neural networks, and other AI models. Stars: 11669
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!. Stars: 4268
A Personal Software Runtime inspired by Emacs, Plan 9, Erlang, Hypermedia, and Unix. Stars: 397
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.. Stars: 146870
Appwrite® - complete cloud infrastructure for your web, mobile and AI apps. Including Auth, Databases, Storage, Functions, Messaging, Hosting, Realtime and more. Stars: 55691
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks. . Stars: 8058
🌐 Make websites accessible for AI agents. Automate tasks online with ease.. Stars: 87405
code update
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing. Stars: 13753
Bayesian Modeling and Probabilistic Programming in Python. Stars: 9572
Open-source, secure environment with real-world tools for enterprise-grade agents.. Stars: 11673
MS-Agent: a lightweight framework to empower agentic execution of complex tasks. Stars: 4148
Custom AI agent platform to speed up your work.. Stars: 1325
Best Practices on Recommendation Systems. Stars: 21622
🦔 PostHog is an all-in-one developer platform for building successful products. We offer product analytics, web analytics, session replay, error tracking, feature flags, experimentation, surveys, data warehouse, a CDP, and an AI product assistant to help debug your code, ship features faster, and keep all your usage and customer data in one stack.. Stars: 32563
Autopilot and the agent network. Stars: 397
Quickstart configs for Nvim LSP. Stars: 13522
The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.. Stars: 75081
The conversation highlights the critical need for context in AI adoption to ensure ROI and addresses the challenges of rapid AI development, particularly in pricing models for usage-based AI. A new research partnership aims to democratize AI by focusing on edge-based, real-time, private, and energy-efficient AI systems, emphasizing a human-centered approach and ethical development.
Lovable, a no-code platform, has observed an unexpected user base, primarily individuals outside traditional tech backgrounds, achieving rapid business success. The platform’s focus on streamlining business creation and iteration allows users to quickly launch and scale ventures, demonstrated by examples of a former church converted into an arcade and a tax solution for freelancers. This trend suggests increased accessibility to entrepreneurship, fostering real-world problem-solving and economic growth.
Lovable, initially misjudging its target demographic, has observed the emergence of a new founder class. This class comprises diverse individuals, including those in non-traditional entrepreneurial roles, leveraging the platform to develop and scale businesses by building their own digital systems. The platform's focus extends beyond creation to supporting the growth of sustainable businesses with customer engagement and feedback mechanisms, indicating a shift towards democratizing entrepreneurship through accessible technology.
Entrepreneurship is positioned as the most resilient profession against AI displacement. Lovable is developing a workbench specifically designed to support this role. This suggests a focus on tools that augment entrepreneurial endeavors rather than automating them.
Lovable.ai is positioned as a platform that empowers non-technical users to build custom software solutions, thereby democratizing software creation and fostering a new wave of entrepreneurship. This approach challenges traditional notions of software development and taps into a significant latent market of small to medium-sized businesses needing tailored solutions. Its AI-native architecture and absence of legacy code allow for rapid innovation and the creation of entirely new categories of tools.
Lovable, a no-code platform, has rapidly scaled to a $200M annual revenue run rate driven by a bottoms-up adoption model starting with individual users and expanding into Fortune 500 enterprises. The platform is democratizing software creation, enabling non-developers to build applications, and is experiencing significant growth in both user projects and website traffic, partly due to the recent launch of its Cloud and AI offerings. This expansion is supported by strategic talent acquisition and a focus on customer value, despite the associated infrastructure and operational costs.
Lovable is an AI software engineer that allows users, regardless of technical background, to build full-stack applications by simply describing their ideas. The platform aims to democratize software creation, empowering a wider range of individuals to translate their creativity into functional applications and businesses. This approach addresses the bottleneck of specialized software engineering skills, accelerating product development and fostering innovation across various sectors.
Stockholm fosters a unique tech ecosystem driven by a "globally-from-day-one" mindset, inherited capital market strengths, and a culture of long-term team building. This environment attracts top talent and positions the city as a strong contender for generating future billion-dollar tech companies, despite a perceived lack of urgency in public sector technology adoption and underestimation by US investors.
Lovable AI is rapidly expanding, demonstrating the significant impact of AI-driven code generation platforms. This technology empowers non-technical users to build functional applications, accelerating product development and fostering entrepreneurship. Lovable's focus on a secure, opinionated, and integrated stack positions it to become a foundational platform for a wide range of software development, aiming for AI-generated code to surpass human-written code in security within 18 months for standard applications.
Lovable.dev, an AI-powered platform for app development, has demonstrated unprecedented growth, reaching $10 million in ARR just over two months since its public launch. The platform enables users to create functional applications from text prompts, significantly reducing development time and cost. This success highlights the increasing maturity and disruptive potential of AI in software creation, empowering non-developers and potentially reshaping the venture capital landscape by fostering smaller, highly efficient "single-person" companies.
Two European AI startup CEOs share insights gleaned from their hypergrowth journeys. They emphasize the value of prior industry experience, the critical role of co-founder relationships, and the nuanced delegation and talent acquisition strategies necessary to maintain velocity in rapidly evolving AI markets. Their operational approaches highlight adaptability and a strong focus on impact in a demanding work environment, while also touching on the benefits and challenges of building a tech company outside of Silicon Valley.