Popular GitHub Repositories for Cold Emails

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

Power Tools for AI Engineers With Deadlines

Send emails directly from Cursor with this email sending MCP server

a quick and easy interface to generate emails with ChatGPT

Cursor IDE tried banning your country? This tool laughs at restrictions - resets Machine IDs, bypasses token limits, unlocks Pro features, and generates disposable emails with auto verification. Because AI should be for everyone, not just the "approved" regions.

Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling

A curated list of resources on cold-start recommendations.

?ReVisual-R1 is a 7B open-source multimodal language model that follows a three-stage curriculum—cold-start pre-training, multimodal reinforcement learning, and text-only reinforcement learning—to achieve faithful, concise, and self-reflective state-of-the-art performance in visual and textual reasoning.

AI enabled insights from emails, calendars, contacts, files, Slack, databases, web... Fast, private and local. Launching soon!

Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of GPT-Fast, a simple, PyTorch-native generation codebase.

深度学习与推荐系统学习，理论结合代码更香。

Source code for the EMNLP 2020 paper "Cold-Start and Interpretability: Turning Regular Expressions intoTrainable Recurrent Neural Networks"

Using the GPT3 Language model, I create a web application that generates convincing looking emails and then sends them via Gmail. The user interacts with a frontend made with Streamlit

Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)

Source code for MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE 2022.

Your personal AI assistant powered by multiple AI agents. Connects to WhatsApp, Slack, or Telegram to manage your emails, schedule, to-dos, messages, and daily research.

cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets

AI agents for emails

EnergeticAI is TensorFlow.js, optimized for serverless environments, with fast cold-start, small module size, and pre-trained models.

Voice AI agent for reactivating cold leads through personalized calls, assessing their interest with AI agents, and syncing insights directly to your CRMs.