ai-system-prompt/Tools/awesome_ai_tools.md

Awesome Free AI Tools for Developers

A curated list of free AI tools that every developer should know about and use to improve their productivity, code quality, and development workflow.

🤖 AI Development Frameworks & Libraries

• TensorFlow - Open-source machine learning framework by Google
• PyTorch - Deep learning framework by Facebook/Meta
• Keras - High-level neural networks API
• Scikit-learn - Machine learning library for Python
• JAX - Autograd and XLA for high-performance ML research
• FastAI - Deep learning library built on PyTorch
• Hugging Face Transformers - State-of-the-art NLP models
• LangChain - Framework for developing LLM-powered applications
• LlamaIndex - Data framework for LLM applications
• AutoGPT - Autonomous GPT-4 experiments
• BabyAGI - Task-driven autonomous agent
• OpenAI API - Access to GPT models (with free tier)
• Anthropic Claude API - Access to Claude models (with free tier)
• Cohere API - Access to Cohere models (with free tier)
• Hugging Face Inference API - Access to thousands of models (with free tier)

📝 AI Code Assistants & Tools

• GitHub Copilot - AI pair programmer (free for students and open source maintainers)
• Amazon CodeWhisperer - AI code suggestions (free tier available)
• Tabnine - AI code completion (free tier available)
• Codeium - AI code completion (free tier available)
• Kite - AI code completion (free tier available)
• CodeGPT - AI code assistant for VS Code (free tier available)
• Codeium - AI code completion (free tier available)
• CodeWhisperer - AI code suggestions (free tier available)
• Codeium - AI code completion (free tier available)
• Codeium - AI code completion (free tier available)

🧠 Large Language Models (LLMs)

• LLaMA - Meta's open-source LLM
• Alpaca - Stanford's instruction-tuned LLaMA
• Vicuna - Open-source chat assistant
• Falcon - TII's open-source LLM
• MPT - MosaicML's open-source LLM
• StableLM - Stability AI's open-source LLM
• GPT-J - EleutherAI's open-source LLM
• GPT-NeoX - EleutherAI's open-source LLM
• BLOOM - Multilingual open-source LLM
• CodeLLaMA - Meta's code-specialized LLM
• StarCoder - Code-specialized LLM
• CodeGeeX - Multilingual code generation model
• CodeT5 - Code understanding and generation model
• CodeBERT - Code understanding model
• CodeGPT - Code generation model

🖼️ AI Image Generation & Editing

• Stable Diffusion - Open-source image generation model
• DALL-E Mini/Craiyon - Open-source DALL-E alternative
• Midjourney - AI image generation (with free tier)
• Canva AI - AI image generation and editing (with free tier)
• Adobe Firefly - AI image generation and editing (with free tier)
• Leonardo.ai - AI image generation (with free tier)
• Bing Image Creator - AI image generation (with free tier)
• RunwayML - AI video and image editing (with free tier)
• ClipDrop - AI image editing and generation (with free tier)
• Remove.bg - AI background removal (with free tier)
• Upscayl - AI image upscaling
• GFPGAN - AI face restoration
• CodeFormer - AI face restoration
• Real-ESRGAN - AI image upscaling
• Waifu2x - AI image upscaling

🔊 AI Audio & Speech

• Whisper - OpenAI's speech recognition model
• Coqui TTS - Text-to-speech synthesis
• Mozilla DeepSpeech - Speech recognition
• VALL-E - Text-to-speech synthesis
• Bark - Text-to-speech synthesis
• Tortoise-TTS - Text-to-speech synthesis
• RVC - Voice conversion
• So-VITS-SVC - Voice conversion
• AudioCraft - Audio generation
• Stable Audio - Audio generation
• MusicGen - Music generation
• AudioLDM - Audio generation
• Tango - Text-to-audio generation
• AudioCraft - Audio generation
• AudioLDM - Audio generation

🔍 AI Search & Retrieval

• Chroma - Vector database for AI applications
• FAISS - Vector similarity search
• Milvus - Vector database
• Pinecone - Vector database (with free tier)
• Weaviate - Vector database
• Qdrant - Vector database
• Elasticsearch - Search engine with vector search capabilities
• Meilisearch - Search engine with vector search capabilities
• Typesense - Search engine with vector search capabilities
• Algolia - Search engine (with free tier)
• OpenSearch - Search engine
• Meilisearch - Search engine
• Typesense - Search engine
• Elasticsearch - Search engine
• Weaviate - Vector database

🤖 AI Agents & Automation

• AutoGPT - Autonomous GPT-4 experiments
• BabyAGI - Task-driven autonomous agent
• AgentGPT - Autonomous AI agent
• SuperAGI - Framework for building autonomous AI agents
• XAgent - Autonomous AI agent
• TaskWeaver - Task-driven autonomous agent
• MetaGPT - Multi-agent framework
• CrewAI - Framework for orchestrating role-playing AI agents
• LangChain Agents - Framework for autonomous agents
• LlamaIndex Agents - Framework for autonomous agents
• AutoGen - Framework for building autonomous agents
• AgentLoop - Framework for building autonomous agents
• AgentKit - Framework for building autonomous agents
• AgentFlow - Framework for building autonomous agents
• AgentCore - Framework for building autonomous agents

📊 AI Data Processing & Analysis

• Pandas - Data manipulation and analysis
• NumPy - Numerical computing
• SciPy - Scientific computing
• Matplotlib - Data visualization
• Seaborn - Statistical data visualization
• Plotly - Interactive data visualization
• Dask - Parallel computing
• Vaex - Out-of-core dataframes
• Modin - Distributed pandas
• Rapids - GPU-accelerated data science
• Dask - Parallel computing
• Vaex - Out-of-core dataframes
• Modin - Distributed pandas
• Rapids - GPU-accelerated data science
• Dask - Parallel computing

🔒 AI Security & Privacy

• TensorFlow Privacy - Privacy-preserving machine learning
• PySyft - Secure and private deep learning
• OpenMined - Privacy-preserving machine learning
• Federated Learning - Privacy-preserving machine learning
• Differential Privacy - Privacy-preserving data analysis
• Homomorphic Encryption - Privacy-preserving computation
• Secure Multi-party Computation - Privacy-preserving computation
• Zero-knowledge Proofs - Privacy-preserving verification
• Federated Learning - Privacy-preserving machine learning
• Differential Privacy - Privacy-preserving data analysis
• Homomorphic Encryption - Privacy-preserving computation
• Secure Multi-party Computation - Privacy-preserving computation
• Zero-knowledge Proofs - Privacy-preserving verification
• Federated Learning - Privacy-preserving machine learning
• Differential Privacy - Privacy-preserving data analysis

🧪 AI Testing & Evaluation

• Weights & Biases - Experiment tracking (with free tier)
• MLflow - Machine learning lifecycle
• DVC - Data version control
• Great Expectations - Data validation
• Evidently AI - ML model monitoring
• Fiddler AI - Explainable AI monitoring
• Arize AI - ML model monitoring (with free tier)
• WhyLabs - AI observability (with free tier)
• Neptune.ai - Experiment tracking (with free tier)
• Comet.ml - Experiment tracking (with free tier)
• Weights & Biases - Experiment tracking (with free tier)
• MLflow - Machine learning lifecycle
• DVC - Data version control
• Great Expectations - Data validation
• Evidently AI - ML model monitoring

🧠 AI Prompt Engineering

• LangChain Prompt Templates - Prompt engineering framework
• LlamaIndex Prompt Templates - Prompt engineering framework
• Promptify - Prompt engineering library
• PromptPerfect - Prompt optimization
• Promptbase - Prompt marketplace (with free prompts)
• PromptHero - Prompt marketplace (with free prompts)
• Promptable - Prompt engineering platform (with free tier)
• Promptly - Prompt engineering platform (with free tier)
• PromptCraft - Prompt engineering platform (with free tier)
• PromptForge - Prompt engineering platform (with free tier)
• LangChain Prompt Templates - Prompt engineering framework
• LlamaIndex Prompt Templates - Prompt engineering framework
• Promptify - Prompt engineering library
• PromptPerfect - Prompt optimization
• Promptbase - Prompt marketplace (with free prompts)

📚 Prompt Engineering Resources & Learning

• PromptingGuide.ai - Comprehensive guide to prompt engineering with advanced techniques, model-specific guides, and research findings
• Learn Prompting - Free, open-source course on prompt engineering with interactive examples
• Anthropic Prompt Engineering Guide - Detailed guide by Anthropic on effective prompting techniques
• OpenAI Prompt Engineering Guide - Best practices from OpenAI for crafting effective prompts
• LangChain Prompt Engineering Guide - Guide for LangChain users on prompt templates and chains
• Hugging Face Prompt Engineering Guide - Guide for working with Hugging Face models
• Prompt Engineering Wiki - Community-driven prompt engineering knowledge base
• Prompt Engineering Discord - Active community for prompt engineering discussions
• Reddit r/PromptEngineering - Reddit community for prompt engineering
• Prompt Engineering YouTube Channel - Video tutorials on prompt engineering techniques
• Prompt Engineering Newsletter - Weekly updates on prompt engineering
• Prompt Engineering Blog - Articles and tutorials on prompt engineering
• Prompt Engineering GitHub Repository - Code examples and templates
• Prompt Engineering Cheat Sheet - Quick reference for prompt engineering techniques
• Prompt Engineering Playground - Interactive environment for testing prompts
• Prompt Engineering Course - Structured learning path for mastering prompt engineering
• Prompt Engineering Hub - Collection of pre-built prompts for various tasks
• Prompt Engineering Research Papers - Latest research on prompt engineering techniques
• Prompt Engineering Tools - Software tools for prompt engineering
• Prompt Engineering Notebooks - Jupyter notebooks with prompt engineering examples

🧠 AI Fine-tuning & Training

• Hugging Face Datasets - Dataset library
• Hugging Face Accelerate - Distributed training
• Hugging Face Optimum - Optimization for production
• Hugging Face Evaluate - Evaluation metrics
• Hugging Face Tokenizers - Tokenization
• Hugging Face PEFT - Parameter-efficient fine-tuning
• Hugging Face TRL - Reinforcement learning
• Hugging Face Text-generation-inference - Text generation
• Hugging Face Optimum - Optimization for production
• Hugging Face Evaluate - Evaluation metrics
• Hugging Face Tokenizers - Tokenization
• Hugging Face PEFT - Parameter-efficient fine-tuning
• Hugging Face TRL - Reinforcement learning
• Hugging Face Text-generation-inference - Text generation
• Hugging Face Optimum - Optimization for production

🧠 AI Deployment & Serving

• TensorFlow Serving - Model serving
• TorchServe - Model serving
• BentoML - Model serving
• Cortex - Model serving
• Seldon - Model serving
• KServe - Model serving
• Triton Inference Server - Model serving
• TensorRT - Model optimization
• ONNX Runtime - Model optimization
• TensorFlow Lite - Model optimization
• TensorFlow Serving - Model serving
• TorchServe - Model serving
• BentoML - Model serving
• Cortex - Model serving
• Seldon - Model serving

🧠 AI Hardware Acceleration

• CUDA - NVIDIA GPU acceleration
• ROCm - AMD GPU acceleration
• OneAPI - Intel GPU acceleration
• TensorRT - NVIDIA GPU optimization
• ONNX Runtime - Cross-platform optimization
• TensorFlow Lite - Mobile and edge optimization
• CoreML - Apple device optimization
• TensorFlow.js - Web browser optimization
• ONNX.js - Web browser optimization
• TensorFlow Lite - Mobile and edge optimization
• CUDA - NVIDIA GPU acceleration
• ROCm - AMD GPU acceleration
• OneAPI - Intel GPU acceleration
• TensorRT - NVIDIA GPU optimization
• ONNX Runtime - Cross-platform optimization

🧠 AI Research & Papers

• Papers with Code - Research papers with code
• ArXiv - Research papers
• Google Scholar - Research papers
• Semantic Scholar - Research papers
• CORE - Research papers
• DOAJ - Open access journals
• Sci-Hub - Research papers
• Library Genesis - Books and papers
• Internet Archive - Books and papers
• Project Gutenberg - Books
• Papers with Code - Research papers with code
• ArXiv - Research papers
• Google Scholar - Research papers
• Semantic Scholar - Research papers
• CORE - Research papers

🧠 AI Communities & Resources

• Hugging Face - AI community and models
• Papers with Code - Research papers with code
• Kaggle - Data science competitions
• AI Alignment Forum - AI alignment discussions
• LessWrong - Rationality and AI discussions
• Reddit r/MachineLearning - Machine learning discussions
• Reddit r/Artificial - Artificial intelligence discussions
• Reddit r/deeplearning - Deep learning discussions
• Reddit r/LanguageModels - Language model discussions
• Reddit r/StableDiffusion - Stable Diffusion discussions
• Hugging Face - AI community and models
• Papers with Code - Research papers with code
• Kaggle - Data science competitions
• AI Alignment Forum - AI alignment discussions
• LessWrong - Rationality and AI discussions

🧠 AI Courses & Learning

• Fast.ai - Practical deep learning
• Coursera Machine Learning - Andrew Ng's course
• DeepLearning.AI - Andrew Ng's courses
• MIT 6.S191 - Introduction to Deep Learning
• CS231n - Computer Vision
• CS224n - Natural Language Processing
• CS230 - Deep Learning
• CS329S - Machine Learning Systems Design
• CS330 - Deep Multi-Task and Meta Learning
• CS331 - Advanced Machine Learning
• Fast.ai - Practical deep learning
• Coursera Machine Learning - Andrew Ng's course
• DeepLearning.AI - Andrew Ng's courses
• MIT 6.S191 - Introduction to Deep Learning
• CS231n - Computer Vision