Models and examples built with TensorFlow
Repository Index
47,133 repositories indexed
1–24 of 91 · Most stars
Documented system prompts from Anthropic - Claude Fable 5.1, Opus 5.5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-6-Astra, Codex. Google - Gemini 3.8 Flash, 3.1 Pro, Antigravity. xAI - Grok, Grok Bot, Cursor, Kimi and more! Updated regularly.
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
Grok open release
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
the only cheat sheet you need
My Python Examples
A book-in-progress about the Linux kernel and its insides.
- linux-kernel
- linux-insides
- linux
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
- quiz-questions
- answers
- assessment
Minimal examples of data structures and algorithms in Python
- algorithm
- python
- competitive-programming
- data-structure
Fast and memory-efficient exact attention
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
- python
- python3
- learning
- programming-language
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Browser automation and testing without limits. SeleniumBase's CDP Mode bypasses bot-detection with ease. Check out the examples!
- python
- selenium-python
- e2e-testing
- seleniumbase
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
- deep-learning
- pytorch
- grad-cam
- visualizations
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo includes projects, presentations, interview questions and real time examples.
Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.
- python
- real-time
- speaker-diarization
- speech-recognition
Minimal and clean examples of machine learning algorithms implementations
- machine-learning
- deep-learning
- neural-networks
- machine-learning-algorithms
Ansible for DevOps examples.
🧩 FrontierAgent, our agent framework, open-sourced alongside it — native command-line TUI, ReAct and Agent Team modes, one command on macOS and Linux, no preinstall, no hard Docker dependency.
- agent-orchestration
- ai-agents
- harness
- agentic-ai
N-D labeled arrays and datasets in Python
Algorithms for explaining machine learning models
- machine-learning
- explanations
- interpretability
- counterfactual