Resource Library
Discover 5185 hand-picked AI tools, APIs, datasets, prompts, and open-source projects. Filter by category, type, and difficulty to find exactly what you need.
Found 5185 resources
Resource Library
Midjourney
Midjourney is a leading text-to-image generator renowned for its highly artistic, photorealistic output and rich stylistic control. Accessible via Discord and its web app, it offers powerful parameters for aspect ratio, style, and variation, making it the go-to choice for designers, artists, and creative professionals.
GitHub Copilot
GitHub Copilot is the most widely adopted AI pair programmer, offering inline code completions, contextual chat, and an autonomous coding agent deeply integrated with GitHub and popular IDEs. It draws on your repository context to suggest relevant code, review changes, and even complete entire tasks from issues.
Claude
Claude is Anthropic's AI assistant for chat, analysis, coding, and document work, known for careful reasoning, long context handling, and the Artifacts feature for interactive content. It offers free and Pro plans, with a reputation for nuanced writing and reliable handling of complex, lengthy tasks.
Stable Diffusion WebUI
The most popular community-built graphical interface for Stable Diffusion, developed by AUTOMATIC1111. It provides txt2img, img2img, inpainting and upscaling in a single browser tab, backed by a massive ecosystem of models, LoRAs and extensions. It is the go-to choice for local image generation — provided you have a capable GPU. Aimed at creators who want full control and privacy.
Perplexity AI
Perplexity is an AI-powered answer engine that searches the web in real time and responds with cited, up-to-date sources. Unlike traditional chatbots, every answer links back to its references, making it a favorite for research, fact-checking, and staying current — with free and Pro tiers available.
PyTorch Deep Learning Framework
PyTorch is a leading open-source deep learning framework developed by Meta, known for its dynamic computation graph and Pythonic interface. It powers both cutting-edge AI research and production deployments, with a rich ecosystem of tools for training, debugging, and scaling models across GPUs and TPUs.
Prompt Engineering Guide
A widely recognised, community-driven resource that systematically teaches prompt engineering — from foundational techniques like zero-shot and few-shot prompting to advanced methods such as chain-of-thought reasoning. It includes multilingual examples, model-agnostic design principles, and practical tips that help practitioners at every level improve AI output quality in a structured way.
Midjourney Prompt Techniques
A practical guide to writing effective Midjourney prompts, covering prompt structure, parameter weights, style references, and aspect ratio control. It includes side-by-side comparisons showing how small wording changes affect output, making it ideal for creators who want to move beyond random generation and consistently produce high-quality AI images.
Kaggle Datasets Platform
Kaggle hosts tens of thousands of public datasets spanning machine learning competitions, real-world business problems, and academic research. All datasets are available for online analysis through built-in notebooks and can be downloaded directly for local experimentation and model training.
Claude Code
Claude Code is Anthropic's agentic coding tool that works in your terminal and editor, understanding your entire codebase to plan, write, and refactor code autonomously. It handles multi-file changes, runs tests, and integrates with Git workflows — designed for developers who want an AI collaborator, not just autocomplete.
The Complete Midjourney Guide
A comprehensive guide to Midjourney V6, walking through the full image generation workflow from prompt structure to parameter usage like stylize, chaos, and quality. It covers advanced techniques such as image blending, style references, and the remix feature, with practical examples throughout. Ideal for intermediate creators who want to harness the latest model capabilities for consistent, high-quality results.
Hugging Face Transformers Tutorial
The official tutorial for Hugging Face Transformers, the industry-standard library for NLP and computer vision. It covers text classification, tokenisation, translation, image segmentation, and more, with code examples for both PyTorch and TensorFlow backends. Aimed at practitioners who want to leverage pre-trained models or fine-tune them on custom datasets for production use.
ComfyUI
A node-based, visual workflow interface for image generation models like Stable Diffusion and SDXL. It gives you fine-grained control over every step of the pipeline — from sampling to decoding — and lets you save, share and reuse workflows as files. Best suited for power users who need maximum flexibility and reproducible, complex image generation pipelines.
Hugging Face Datasets Collection
The largest open-source dataset hub on the web, hosted by Hugging Face. It spans NLP, computer vision, audio, and multimodal tasks, offering hundreds of thousands of community-contributed datasets with efficient streaming and loading utilities. Whether you need text classification benchmarks, image-caption pairs, or speech-to-text corpora, this is the go-to infrastructure for sourcing quality training data.
ComfyUI Workflow Guide
ComfyUI uses a node-based visual workflow system that gives you precise control over every step of image generation. This guide walks through building workflows from scratch, using reusable shareable graphs, and advanced techniques like inpainting and upscaling for production-quality results.
Dify LLM App Development Platform
Dify is an open-source LLM application development platform that combines visual workflow orchestration, a built-in RAG engine, and Agent capabilities. It lets developers and non-technical users quickly build, test, and deploy AI-powered apps with support for multiple model providers and seamless API integration.
The Complete OpenAI API Guide
A comprehensive, step-by-step guide to the OpenAI API ecosystem, covering GPT, DALL·E, and Whisper models in depth. It walks you through account setup, authentication, making your first API call, prompt design patterns, and cost optimisation strategies—ideal for developers new to the OpenAI platform who want a structured learning path.
Deploying Local LLMs with Ollama
A cross-platform tool that lets you download and run open-source LLMs like Llama, Mistral, and Phi locally on your own machine. It provides a CLI, a local API server, and an OpenAI-compatible endpoint, so you can experiment with models privately — no GPU or cloud account required. Ideal for developers who want offline AI capabilities or need to test prompts before deploying to production.
LangChain Framework Tutorial
An in-depth tutorial on the LangChain framework, walking through its architecture and core modules—Chains, Agents, and Memory—with hands-on examples. It also covers RAG integration, custom tool development, and debugging strategies, making it a solid starting point for developers ready to move beyond simple prompts and build production-grade LLM applications.
Qdrant Vector Database
Qdrant is a high-performance open-source vector database and similarity search engine designed for production use. Written in Rust, it powers RAG pipelines, recommendation systems, and semantic search with rich payload filtering, multi-tenancy support, and both self-hosted and managed cloud deployment options.
LangGraph
LangGraph is a low-level orchestration framework from the LangChain team for building stateful, multi-step agent workflows. It provides fine-grained control over execution flow with persistent state, human-in-the-loop checkpoints, and cycle support — ideal for complex agents that need more than simple chain sequencing.
MonkeyCode
MonkeyCode is an open-source, enterprise-grade AI coding platform built by Chaitin Technology. Designed for teams that prioritise data privacy, it supports private on-premise deployment, is compatible with multiple mainstream LLMs to avoid vendor lock-in, and offers a cloud IDE for collaborative development with enterprise-grade permission controls. Its free plan gives everyone 30M tokens every day, with the just-released DeepSeek-V4-Flash-0731 already live on the platform.
Hands-on LLM Fine-Tuning
A practical, hands-on guide to fine-tuning large language models, covering parameter-efficient approaches like LoRA and QLoRA alongside traditional full fine-tuning. It walks through dataset preparation, hyperparameter tuning, and evaluation metrics with real code examples. Aimed at ML engineers who want to adapt base models to specific domains without the cost of training from scratch.
OpenRouter API
OpenRouter provides a unified API that routes requests to hundreds of large language models from multiple providers through a single OpenAI-compatible endpoint. It simplifies model switching, offers transparent pricing, and handles failover automatically — ideal for developers who want flexibility without managing multiple API keys.