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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:DistrictDataLabs Yellowbrick Feature Analysis and Selection
- Workflow:Haifengl Smile Nearest Neighbor Search
- Workflow:Vespa engine Vespa Linguistics text processing pipeline
- Workflow:OWASP Www project top 10 for large language model applications Vulnerability Entry Development
- Workflow:Apache Shardingsphere Metadata DDL Refresh
- Workflow:Microsoft Semantic kernel Plugin Integration And Function Calling
- Workflow:Microsoft LoRA NLU GLUE Finetuning
- Workflow:NVIDIA NeMo Curator Video Curation Pipeline
- Workflow:Openclaw Openclaw Multi Agent Routing
- Workflow:ARISE Initiative Robomimic Dataset Preparation Pipeline
Principles
- Principle:Cypress io Cypress Test Suite Execution
- Principle:Heibaiying BigData Notes Spark Session Creation
- Principle:Sail sg LongSpec GLIDE Model Initialization
- Principle:Deepspeedai DeepSpeed Accelerator Abstraction
- Principle:Apache Shardingsphere Event Listener Filtering
- Principle:Run llama Llama index Batch Evaluation Setup
- Principle:Huggingface Optimum Pipeline Inference Execution
- Principle:Ggml org Llama cpp Runtime LoRA Application
- Principle:EvolvingLMMs Lab Lmms eval Metric Aggregation
- Principle:Googleapis Python genai Content Preparation
Implementations
- Implementation:LMCache LMCache Load Engine Config With Overrides
- Implementation:Mistralai Client python Azure ChatCompletionRequest
- Implementation:Ucbepic Docetl Dataset Theme Evolution
- Implementation:Kserve Kserve InferenceService CRD Spec
- Implementation:Langchain ai Langgraph Add Messages
- Implementation:Openai Openai python Image Edit Partial Event
- Implementation:Hpcaitech ColossalAI ExperienceMakerHolder
- Implementation:FlagOpen FlagEmbedding Sentence Pair Construction
- Implementation:LLMBook zh LLMBook zh github io Trainer Train SFT
- Implementation:Openai Openai python Shared Compound Filter
Heuristics
- Heuristic:Bentoml BentoML Thread Env Vars Setting
- Heuristic:Sdv dev SDV Sampling Retry Tuning
- Heuristic:Mlc ai Web llm Low Resource Model Selection
- Heuristic:SqueezeAILab ETS Max Depth And Token Guards
- Heuristic:Apache Airflow Task Dependency Isolation
- Heuristic:Obss Sahi Match Threshold Tuning
- Heuristic:Haotian liu LLaVA Image Aspect Ratio Padding Strategy
- Heuristic:Mage ai Mage ai Batch Size Tuning
- Heuristic:Puppeteer Puppeteer Mac Silicon Performance
- Heuristic:Mistralai Client python Resource Context Manager
Environments
- Environment:Spotify Luigi Apache Spark
- Environment:Lance format Lance Python Environment
- Environment:Kubeflow Kubeflow Kubectl Kustomize CLI Environment
- Environment:Mlfoundations Open flamingo Evaluation Dependencies
- Environment:Farama Foundation Gymnasium Python 3 10 Runtime
- Environment:Huggingface Peft Optional Quantization Backends
- Environment:Tensorflow Tfjs Python Converter
- Environment:Apache Kafka Docker Build Environment
- Environment:MaterializeInc Materialize Docker Compose Runtime
- Environment:Pola rs Polars Cloud Storage Environment