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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:Vibrantlabsai Ragas Testset Generation
- Workflow:Alibaba ROLL Knowledge Distillation Pipeline
- Workflow:Astronomer Astronomer cosmos Watcher execution mode
- Workflow:Haosulab ManiSkill Motion Planning Demo Generation
- Workflow:Arize ai Phoenix Dataset and Experiment Lifecycle
- Workflow:Google deepmind Mujoco Offscreen video recording
- Workflow:Axolotl ai cloud Axolotl Full Finetuning Distributed
- Workflow:Nightwatchjs Nightwatch Programmatic API Usage
- Workflow:Openai Evals Building a custom eval
- Workflow:ArroyoSystems Arroyo Local Pipeline Execution
Principles
- Principle:Togethercomputer Together python Text To Speech
- Principle:Apache Airflow Secret Redaction
- Principle:NVIDIA NeMo Curator Video Ingestion
- Principle:NVIDIA NeMo Aligner SPIN Self Play Training
- Principle:Protectai Llm guard Bias Detection
- Principle:Explodinggradients Ragas Genetic Prompt Optimization
- Principle:Huggingface Datatrove Local Pipeline Execution
- Principle:Marker Inc Korea AutoRAG Export And Corpus Remapping
- Principle:Ggml org Llama cpp Multimodal Input Preparation
- Principle:Microsoft Agent framework Workflow Event Streaming
Implementations
- Implementation:Dagster io Dagster DbtProjectComponent API
- Implementation:Norrrrrrr lyn WAInjectBench LogisticRegression Fit
- Implementation:Interpretml Interpret R Bindings
- Implementation:Guardrails ai Guardrails Configure CLI
- Implementation:Datajuicer Data juicer ImageRemoveBackgroundMapper
- Implementation:TobikoData Sqlmesh ModalConfirmation
- Implementation:Cleanlab Cleanlab Regression CleanLearning
- Implementation:Langgenius Dify FetchWorkflowDraft
- Implementation:FlowiseAI Flowise ComponentsListDialog
- Implementation:FlowiseAI Flowise CreateEditRoleDialog
Heuristics
- Heuristic:Evidentlyai Evidently Drift Detection Thresholds
- Heuristic:Elevenlabs Elevenlabs python VAD vs Manual Commit Strategy
- Heuristic:Cohere ai Cohere python Tokenizer Cache With TTL
- Heuristic:Pola rs Polars Use Spawn Not Fork Multiprocessing
- Heuristic:Lakeraai Pint benchmark Optimal Configuration Selection
- Heuristic:Bitsandbytes foundation Bitsandbytes Compressed Statistics Double Quantization
- Heuristic:Onnx Onnx Shape Inference Limitations
- Heuristic:Infiniflow Ragflow Citation Threshold Decay
- Heuristic:Bigscience workshop Petals Prompt Embeddings Float32 Precision
- Heuristic:Ollama Ollama VRAM Recovery And Scheduling
Environments
- Environment:Liu00222 Open Prompt Injection CUDA Environment
- Environment:ArroyoSystems Arroyo PostgreSQL Database
- Environment:Langchain ai Langchain LangSmith Tracing Config
- Environment:Vespa engine Vespa Cosign Sigstore Signing
- Environment:Evidentlyai Evidently SQL Storage Environment
- Environment:Fede1024 Rust rdkafka Kafka Broker Runtime
- Environment:Apache Flink Java Build Environment
- Environment:Pola rs Polars Python Runtime Environment
- Environment:Apache Spark Python Environment
- Environment:Deepspeedai DeepSpeed NVMe Environment