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Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
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| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
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Workflows
- Workflow:Apache Spark Standalone Cluster Deployment
- Workflow:Bentoml BentoML BentoCloud Deployment
- Workflow:Rapidsai Cuml Sklearn Zero Code Acceleration
- Workflow:Hiyouga LLaMA Factory PPO RLHF Training
- Workflow:Lm sys FastChat Vicuna SFT Finetuning
- Workflow:OWASP Www project top 10 for large language model applications LLM Vulnerability Assessment
- Workflow:Huggingface Diffusers Video Generation
- Workflow:Elevenlabs Elevenlabs python Realtime TTS Streaming
- Workflow:Hpcaitech ColossalAI Supervised Finetuning
- Workflow:Mage ai Mage ai Building a New Destination Connector
Principles
- Principle:Allenai Open instruct DPO Loss Dispatch
- Principle:Dotnet Machinelearning Text Featurization
- Principle:Ggml org Ggml Backend Plugin Loading
- Principle:Wandb Weave Client Initialization
- Principle:Evidentlyai Evidently Snapshot Export
- Principle:Google deepmind Dm control Rendering Backend Configuration
- Principle:ARISE Initiative Robosuite Gripper Testing
- Principle:Datajuicer Data juicer Data Selection
- Principle:LaurentMazare Tch rs FFI Collection Traits
- Principle:Microsoft DeepSpeedExamples DeepSpeed MoE Training
Implementations
- Implementation:Microsoft Playwright SsimStats
- Implementation:Spotify Luigi Marker Table Check
- Implementation:Liu00222 Open Prompt Injection Model query
- Implementation:Ollama Ollama Imagegen Server
- Implementation:CARLA simulator Carla InstallPrerequisites Script
- Implementation:Microsoft DeepSpeedExamples Alpaca Training Dataset
- Implementation:Explodinggradients Ragas OpikTracer Class
- Implementation:CrewAIInc CrewAI Enterprise API Spec Base
- Implementation:Huggingface Diffusers LoRA Training Loop
- Implementation:Google deepmind Mujoco JAX Experimental XLA FFI
Heuristics
- Heuristic:Bentoml BentoML Worker Count Strategy
- Heuristic:Google deepmind Mujoco Mesh Quality For Collision
- Heuristic:Dagster io Dagster Record Over Dataclass
- Heuristic:Microsoft Autogen Parallel Tool Call Safety
- Heuristic:Huggingface Trl QLoRA BF16 Adapter Casting
- Heuristic:Huggingface Datatrove FineWeb Filter Pipeline Order
- Heuristic:Datahub project Datahub Emitter Selection Strategy
- Heuristic:EvolvingLMMs Lab Lmms eval Distributed Padding Strategy
- Heuristic:Marker Inc Korea AutoRAG Hybrid Retrieval Score Normalization
- Heuristic:LLMBook zh LLMBook zh github io BF16 Mixed Precision Default
Environments
- Environment:FlagOpen FlagEmbedding Python PyTorch Environment
- Environment:Microsoft Onnxruntime Nodejs Runtime Environment
- Environment:Allenai Open instruct vLLM Inference
- Environment:Mistralai Client python GCP Deployment Environment
- Environment:Google research Deduplicate text datasets Python TFDS Environment
- Environment:Shiyu coder Kronos Qlib Data Environment
- Environment:Nautechsystems Nautilus trader Python Cython Rust Runtime
- Environment:Helicone Helicone Python ClickHouse Migrations
- Environment:Spotify Luigi Apache Spark
- Environment:Anthropics Anthropic sdk python Azure Foundry Environment