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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:Webdriverio Webdriverio Cucumber BDD Testing
- Workflow:Spotify Luigi Hadoop MapReduce Pipeline
- Workflow:PacktPublishing LLM Engineers Handbook Feature Engineering
- Workflow:Scikit learn Scikit learn Data Preprocessing Pipeline
- Workflow:Microsoft BIPIA Black Box Defense Evaluation
- Workflow:PrefectHQ Prefect Web Scraping Pipeline
- Workflow:Openclaw Openclaw Plugin And Skill Extension
- Workflow:Dagster io Dagster Dbt Integration
- Workflow:Facebookresearch Audiocraft MusicGen Text To Music Inference
- Workflow:Evidentlyai Evidently Text Data Quality Evaluation
Principles
- Principle:Mit han lab Llm awq Streaming Text Generation
- Principle:CARLA simulator Carla Sensor Data Streaming
- Principle:Princeton nlp Tree of thought llm BFS Tree Search
- Principle:Mlc ai Mlc llm Custom Request Routing
- Principle:Turboderp org Exllamav2 Dynamic Generator Setup
- Principle:Axolotl ai cloud Axolotl Model Saving
- Principle:OWASP Www project top 10 for large language model applications Entry Publication
- Principle:Speechbrain Speechbrain Mixture Dataset Preparation
- Principle:Bitsandbytes foundation Bitsandbytes Matmul Performance Estimation
- Principle:Confident ai Deepeval Retriever Span Enrichment
Implementations
- Implementation:Run llama Llama index DocstoreStrategy Configuration
- Implementation:Microsoft Semantic kernel Process Build And StartAsync
- Implementation:Vespa engine Vespa Config Lib ABI Spec
- Implementation:Run llama Llama index MultiModalEmbedding
- Implementation:OpenGVLab InternVL PackedDataset
- Implementation:CrewAIInc CrewAI RAG Embedding Service
- Implementation:Marker Inc Korea AutoRAG QA Filter Dontknow And Export
- Implementation:Ggml org Llama cpp Llama Init From Model
- Implementation:Helicone Helicone Prompt Templates
- Implementation:Online ml River Compose TargetTransformRegressor
Heuristics
- Heuristic:Ucbepic Docetl Optimizer Sample Sizes
- Heuristic:Arize ai Phoenix Queue Clear Race Condition
- Heuristic:Ray project Ray NaN Score Filtering In PBT
- Heuristic:Huggingface Alignment handbook QLoRA Learning Rate Scaling
- Heuristic:TA Lib Ta lib python Unstable Period Configuration
- Heuristic:Marker Inc Korea AutoRAG One Dataset Per Project Directory
- Heuristic:Isaac sim IsaacGymEnvs Determinism Performance Tradeoff
- Heuristic:Unstructured IO Unstructured Chunk Size Tuning
- Heuristic:Neuml Txtai Model Quantization Defaults
- Heuristic:Alibaba ROLL Dynamic Batching Token Limits
Environments
- Environment:Huggingface Trl vLLM Generation Environment
- Environment:Vllm project Vllm Distributed
- Environment:Langchain ai Langchain Unit Test Network Isolation
- Environment:NVIDIA NeMo Curator Ray Cluster
- Environment:Spcl Graph of thoughts Local LLaMA GPU Inference
- Environment:Huggingface Trl Quantization Environment
- Environment:Nautechsystems Nautilus trader Asyncio Uvloop Event Loop
- Environment:Spotify Luigi SQLAlchemy Database
- Environment:Wandb Weave Trace Server Infrastructure
- Environment:ArroyoSystems Arroyo Kubernetes Deployment