
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
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198 apps projects. End-user AI applications you can run or self-host.
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Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Local-first cross-platform desktop workspace for Claude Code / agents: multi-agent, Git worktrees, code diffs, skill marketplace, multi-model, Computer Use, task-aware desktop pets, with WeChat, Feishu, DingTalk, Telegram, WhatsApp and H5 access.

Python Implementation of Reinforcement Learning: An Introduction

Desktop Companion for Hermes Agent

Graph-Native Infrastructure for Context and Accountable AI Systems

Force Remove Copilot, Recall and More in Windows 11

CRS-自建Claude Code镜像,一站式开源中转服务,让 Claude、OpenAI、Gemini、Droid 订阅统一接入,支持拼车共享,更高效分摊成本,原生工具无缝使用。

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

Claude-first paid-media operations skill for Claude Code across 12 ad platforms (Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, X): source-grounded audits, deterministic scoring, versioned JSON reports, and capability-gated account changes.

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Best Practices, code samples, and documentation for Computer Vision.

🏰 An exciting game of programming and Artificial Intelligence

The Generative AI Landscape - A Collection of Awesome Generative AI Applications

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

⚙️🦀 Build modular and scalable LLM Applications in Rust

[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

top #1 and most feature rich GPT wrapper for git — generate commit messages with an LLM in 1 sec — works with Claude, GPT and every other provider, supports local Ollama models too

scrape data from Google Maps. Extracts data such as the name, address, phone number, website URL, rating, reviews number, latitude and longitude, reviews,email and more for each place

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非第三方官方项目
