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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 |
Explore Pages
Workflows
- Workflow:Datajuicer Data juicer LLM Powered Data Generation
- Workflow:Google research Deduplicate text datasets Wiki40B TFDS deduplication
- Workflow:Mlflow Mlflow Prompt Management
- Workflow:SqueezeAILab ETS Answer Evaluation Pipeline
- Workflow:Apache Flink Async Sink Lifecycle
- Workflow:NVIDIA NeMo Curator Image Curation Pipeline
- Workflow:Diagram of thought Diagram of thought DoT Trace Extraction
- Workflow:PrefectHQ Prefect API Sourced ETL
- Workflow:Turboderp org Exllamav2 Interactive Chat
- Workflow:Getgauge Taiko Network Request Interception
Principles
- Principle:Nightwatchjs Nightwatch Cucumber Test Execution
- Principle:Apache Kafka Coordinator State Loading
- Principle:Haosulab ManiSkill Domain Randomization
- Principle:Volcengine Verl Reward Model Scoring
- Principle:Unslothai Unsloth MoE Expert Routing
- Principle:Dagster io Dagster Data Quality Validation
- Principle:Facebookresearch Audiocraft Flow Matching Generation
- Principle:ARISE Initiative Robosuite Placement Sampling
- Principle:DataTalksClub Data engineering zoomcamp Dbt Marts Layer
- Principle:OpenHands OpenHands Webhook Acknowledgment
Implementations
- Implementation:Lance format Lance LegacyListEncoding
- Implementation:Google deepmind Dm control Walker Rescale
- Implementation:OWASP Www project top 10 for large language model applications VulnerabilityEntry Parse Sections
- Implementation:ArroyoSystems Arroyo Nexmark Connector
- Implementation:FlowiseAI Flowise PromptLangsmithHubDialog
- Implementation:Datahub project Datahub RestEmitterConfig
- Implementation:Kserve Kserve Knative Traffic Reconciler
- Implementation:Haosulab ManiSkill Evaluate Dense Reward
- Implementation:Onnx Onnx Convert Model To External Data
- Implementation:Google deepmind Mujoco Engine Global Table
Heuristics
- Heuristic:Lm sys FastChat Conversation Splitting Token Buffer
- Heuristic:Microsoft LoRA Selective LoRA QV Only
- Heuristic:Dotnet Machinelearning Numerical Stability Guards
- Heuristic:Mlc ai Web llm Tokenizer JSON Preference
- Heuristic:Vibrantlabsai Ragas Warning Deprecated Legacy LLM Wrappers
- Heuristic:Mlc ai Mlc llm OpenCL Memory Floor Workaround
- Heuristic:Intel Ipex llm LoRA Target All Linear Layers
- Heuristic:Openai Openai python Retry Backoff Strategy
- Heuristic:Liu00222 Open Prompt Injection BPE Retokenization Parameters
- Heuristic:Pola rs Polars Lazy Over Eager Preference
Environments
- Environment:Microsoft Onnxruntime Windows Build Environment
- Environment:Openai CLIP PyTorch CUDA Runtime
- Environment:Iamhankai Forest of Thought OpenAI API Credentials
- Environment:Marker Inc Korea AutoRAG Japanese NLP Dependencies
- Environment:Snorkel team Snorkel PyTorch
- Environment:OpenRLHF OpenRLHF Ray Distributed Environment
- Environment:Kserve Kserve Knative Serving
- Environment:Iamhankai Forest of Thought Python CUDA Runtime
- Environment:Bitsandbytes foundation Bitsandbytes Build From Source Environment
- Environment:Langgenius Dify Credentials And Env Vars