Typed Python client for the OpenAI REST API that offers synchronous and asynchronous clients, typed request/response models, streaming and Realtime support, webhook verification, and integrations for Azure and Amazon Bedrock—built for production integrations and automation.
Provides a self-hosted machine translation HTTP API that runs offline using the open-source Argos Translate engine; offers Docker-based deployment and a simple HTTP interface for integration. Suited for privacy-conscious or offline translation deployments.
A 12-week, 24-lesson beginner-friendly AI curriculum with executable Jupyter notebooks, quizzes and labs that teach neural networks, computer vision, NLP, generative models and ethics using PyTorch and TensorFlow examples.
Build internal web apps, dashboards, workflows and AI agents with a visual low-code builder that connects to databases, APIs, SaaS and object storage. Includes AI app generation, AI query builder and AI debugging plus self-hosting and enterprise features like RBAC and audit logs.
Curated self-study roadmap and reading-list for learning computer science end-to-end — organizes open courses, textbooks, and project recommendations across programming languages, systems, algorithms, AI/ML and more; aimed at motivated learners planning a 2–3 year self-directed path.
Scales a single-GPU training script to thousands of GPUs through a unified interface, combining data, pipeline, tensor, and sequence parallelism. Its Gemini memory manager offloads tensors across GPU, CPU, and NVMe so models far larger than VRAM still fit.
Orchestrates ML training pipelines and production agent workflows from one Python codebase that runs unchanged from a laptop to Kubernetes or any cloud. Auto-versions artifacts, models, and agent checkpoints, with no orchestrator or framework lock-in.
Deploys PyTorch models directly on phones, microcontrollers, and embedded hardware via ahead-of-time compilation to a ~50KB C++ runtime. Delegates subgraphs to 12+ backends (XNNPACK, CoreML, Qualcomm, ARM Ethos-U) with torchao quantization.
Provides 115M public GitHub source files (≈873GB of code, ~1TB uncompressed) with per-file metadata (repo, path, language, license). Supports streaming, language/license filtering and full download for training and evaluating code LLMs and code generation models.
Official collection of example notebooks and guides for building with the OpenAI API — text generation, embeddings, function calling, RAG, fine-tuning, and more. Mostly runnable Jupyter notebooks (~93%); mirrored at cookbook.openai.com.
Compiles plain Python functions into GPU or CPU kernels at runtime via a JIT decorator, with differentiable output that plugs into PyTorch, JAX, and Paddle. Ships physics, robotics, geometry, and FEM primitives — particles, meshes, ray-casting, FFT.
Offline desktop OCR for Windows and Linux that extracts text from screenshots, image batches, and scanned PDFs without requiring a network connection. Bundles multilingual offline engines (PaddleOCR / RapidOCR), supports ignore-regions, searchable PDF output, CLI and HTTP interfaces for automation and integration.