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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:Cleanlab Cleanlab Classification Label Issue Detection
- Workflow:Apache Airflow Kubernetes Deployment via Helm
- Workflow:Apache Dolphinscheduler Workflow Execution Lifecycle
- Workflow:Scikit learn Scikit learn Supervised Classification
- Workflow:Microsoft Agent framework Basic Agent Creation
- Workflow:Online ml River Time Series Forecasting
- Workflow:Apache Druid Visual Data Exploration
- Workflow:Rapidsai Cuml Multi GPU Distributed ML
- Workflow:SeldonIO Seldon core AB Testing Experiment
- Workflow:Google research Deduplicate text datasets Single file deduplication
Principles
- Principle:Marker Inc Korea AutoRAG Legacy QA Dataset Creation
- Principle:Isaac sim IsaacGymEnvs Task Registration
- Principle:Farama Foundation Gymnasium Observation Normalization
- Principle:Fede1024 Rust rdkafka Cluster Administration
- Principle:DistrictDataLabs Yellowbrick Prediction Error Analysis
- Principle:Huggingface Trl PPO Prompt Dataset Preparation
- Principle:Ggml org Ggml VirtGPU Remoting
- Principle:Axolotl ai cloud Axolotl Serverless Deployment Configuration
- Principle:SeldonIO Seldon core HuggingFace Model Resource Definition
- Principle:Turboderp org Exllamav2 Constrained Generation
Implementations
- Implementation:NVIDIA NeMo Curator ScoreFilter
- Implementation:Apache Paimon RenamingSnapshotCommit
- Implementation:Testtimescaling Testtimescaling github io Git Commit Push Workflow
- Implementation:LMCache LMCache Remote Backend Check
- Implementation:Ollama Ollama Mtmd Helper
- Implementation:DataTalksClub Data engineering zoomcamp Airflow GCS Ingestion DAG
- Implementation:Apache Airflow SchedulerJobRunner Loop
- Implementation:Guardrails ai Guardrails Hub Token
- Implementation:TobikoData Sqlmesh Sqlglot Worker
- Implementation:Langgenius Dify I18n Client
Heuristics
- Heuristic:Liu00222 Open Prompt Injection Defense Strategy Selection
- Heuristic:AUTOMATIC1111 Stable diffusion webui GTX 16 Series FP16 Workaround
- Heuristic:Datahub project Datahub Git Worktree Gradle Fix
- Heuristic:Microsoft Semantic kernel Function Choice Behavior Selection
- Heuristic:Norrrrrrr lyn WAInjectBench NaN Inf Fallback FP32 Recovery
- Heuristic:Apache Kafka Coordinator Loading Commit Interval
- Heuristic:Togethercomputer Together python Multipart Upload Strategy
- Heuristic:Dagster io Dagster Mandatory Ruff Formatting
- Heuristic:MarketSquare Robotframework browser Shared Node Process For Parallel
- Heuristic:ChenghaoMou Text dedup False Positive Verification Tradeoff
Environments
- Environment:Ggml org Ggml CUDA GPU Environment
- Environment:PrefectHQ Prefect AI Integration Credentials
- Environment:Predibase Lorax Model Source Credentials
- Environment:Romsto Speculative Decoding CUDA PyTorch
- Environment:Explodinggradients Ragas Google Drive Backend Environment
- Environment:Lm sys FastChat GPU CUDA Inference
- Environment:Huggingface Datatrove IO Dependencies
- Environment:Intel Ipex llm vLLM XPU Serving Environment
- Environment:Gretelai Gretel synthetics Python Base Environment
- Environment:DistrictDataLabs Yellowbrick Python Scikit Learn Environment