Discover the Best AI Resources
Curated essentials, no noise — just what matters
AI Others2023
Offline, privacy-first English grammar checker implemented in Rust that lints documents in milliseconds and uses a fraction of LanguageTool's memory. Can run as a local binary, embed via WebAssembly, and offers integrations for editors and plugins.
AI Infra2023
Turns any website into structured data or an API without code: record clicks once to capture lists and tables, or describe fields in plain language for AI extraction. Also crawls full sites, scrapes pages to Markdown, and runs filtered searches.
AI Dataset2023
Provides a 200k-example filtered conversational dataset derived from UltraChat for supervised fine‑tuning and generation‑ranking of chat models. Stored in parquet with four splits and used as part of Zephyr‑7B‑β training data.
AI Agent2023
Routes LLM and agent decisions through semantic similarity instead of waiting for full generations, useful for intent routing, tool selection, guardrails, and multimodal handling.
Embodied AI2023
Provides a scalable physics-and-rendering simulation interface for robotics and embodied-AI research — unified multi-physics solvers, the Nyx renderer, and the Quadrants compiler. Runs from laptop to datacenter GPUs; suited for sensor-rich data generation and RL/robotics prototyping.
Embodied AI2023
Genesis Authors, Genesis-Embodied-AICarnegie Mellon University, Massachusetts Institute of Technology +5
GPU-native physics engine unifying rigid-body, fluid, cloth, and deformable solvers in one Python framework for robotics and embodied-AI research. Built by a 20+ lab collaboration, now backed by Genesis AI, with generative tools to author 4D scenes.
Chatbot2023
Runs a consumer AI chat interface backed by DeepSeek's large language models, with text, code, table, file, app, and API workflows. Its main appeal is strong reasoning access at unusually low cost.
Reworks the classic Bishop PRML for the deep learning era, adding dedicated chapters on transformers and diffusion models. Builds each idea from probability up using text, diagrams, math, and pseudocode, aimed at readers new to the field.
AI Infra2023
Provides a self-hosted inference engine that serves all models an agent needs—embeddings, retrieval/reranking, document-to-markdown OCR, structured extraction, content-safety scoring, and LLM generation—through an OpenAI-compatible API. Bundles a 100+ model catalog, SDKs, and production deployment tooling.
AI Model2023
Multilingual automatic speech recognition and speech-translation model that transcribes and translates audio. Trained on a mix of weakly labeled and pseudo-labeled data (1M + 4M hours), uses 128 Mel bins and adds a Cantonese token, and supports timestamps and long-form chunking for offline ASR and translation.
AI Audio2023
Unifies text-to-speech, singing voice synthesis, voice conversion, and text-to-audio/music in one PyTorch framework with shared vocoders and a common evaluation pipeline. Ships recipes, pretrained checkpoints, and visualizations of classic models.
AI Audio2023
Performs speaker diarization (who spoke when) with pyannote-audio: combines voice-activity detection, speaker-change and overlapped-speech detection to produce time-stamped speaker segments; compatible with Hugging Face Endpoints and ASR pipelines.