ML/AI Platforms Hub

Free Jupyter notebooks with GPU/TPU access. Best for quick experiments.

ML competitions, datasets, notebooks. Free GPU: 30hrs/week.

Collaborative data science notebooks with real-time editing.

Cloud notebooks with powerful GPUs. Free tier available.

Cloud IDE for ML. Built by PyTorch Lightning team.

Cheap GPU cloud computing. Pay-as-you-go pricing.

Scalable cloud platform for data science teams.

Collaborative notebooks for data teams with enterprise features.

Largest ML model hub. LLMs, diffusion models, datasets.

Run ML models with API. Pay per prediction. Easy deployment.

GPT-4, DALL-E, Whisper APIs. Industry-leading LLMs.

Fast inference for open-source LLMs. 100+ models.

Fastest LLM inference. 500+ tokens/sec. Free tier available.

Run LLMs locally. Simple CLI. Open source models.

Claude 3 Opus, Sonnet, Haiku. Long context (200K tokens).

Enterprise LLM API. RAG, embeddings, reranking.

AI-powered search engine. Real-time web access.

Fast, production-grade LLM inference. 40+ models.

Best AI image generation. Discord-based interface.

Stable Diffusion models. Image, video, 3D generation.

Full ML lifecycle platform. Train, deploy, monitor models.

Unified ML platform. AutoML, custom training, deployment.

End-to-end ML on Azure. Integrates with Microsoft ecosystem.

Unified analytics platform. Spark, ML, data engineering.

Enterprise MLOps platform. Model management and deployment.

Open source ML platform. AutoML, Driverless AI.

Search 25M+ datasets from across the web.

ML papers with code, benchmarks, and SOTA results.

100+ large-scale datasets hosted on AWS for free.

Computer vision datasets, labeling, and model training.

Open source image and video annotation tool.

Experiment tracking, model registry, monitoring.

Open source ML lifecycle management. Tracking, registry.

Metadata store for MLOps. Track experiments and models.

ML pipeline automation and orchestration platform.

Data version control. Git for data and models.

Free practical deep learning courses. PyTorch library.

Andrew Ng's famous ML course. Best for beginners.

Deep learning specializations and short courses.

Preprint server for research papers. CS, ML, AI sections.

Reddit ML community. 2M+ members. News and discussions.