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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:Mage ai Mage ai SQL Database Source Extraction
- Workflow:Speechbrain Speechbrain Speech Enhancement Training
- Workflow:Neuml Txtai Agent Orchestration
- Workflow:InternLM Lmdeploy VLM Inference Pipeline
- Workflow:Microsoft Playwright Codegen test recording
- Workflow:Microsoft Agent framework Multi Agent Sequential Orchestration
- Workflow:Princeton nlp SimPO SimPO Training
- Workflow:Arize ai Phoenix Dataset and Experiment Lifecycle
- Workflow:Apache Druid Streaming Ingestion Management
- Workflow:Microsoft Semantic kernel Process Orchestration
Principles
- Principle:ARISE Initiative Robomimic Checkpoint Loading
- Principle:Openai Openai node Chat Completion Invocation
- Principle:DataTalksClub Data engineering zoomcamp Kestra Table Creation
- Principle:Fastai Fastbook Neural Collaborative Filtering
- Principle:Fastai Fastbook Collab DataLoaders
- Principle:Huggingface Datasets Lance Dataset Building
- Principle:Explodinggradients Ragas Agent Definition Interface
- Principle:Pytorch Serve Transformer Configuration
- Principle:Anthropics Anthropic sdk python Response Processing
- Principle:Huggingface Datasets Deprecation Management
Implementations
- Implementation:CARLA simulator Carla SceneLayout
- Implementation:Run llama Llama index MockLLM
- Implementation:Scikit learn Scikit learn ArrayApiDelegation
- Implementation:FlagOpen FlagEmbedding LLM Embedder Eval LRLM
- Implementation:Langgenius Dify Gen Doc Paths
- Implementation:Microsoft Onnxruntime CUDA NcclService
- Implementation:ArroyoSystems Arroyo Instant Join
- Implementation:Mlc ai Mlc llm JSONFFIEngine Header
- Implementation:Spotify Luigi RemoteTarget SSH
- Implementation:Cohere ai Cohere python RerankResponseResultsItem Model
Heuristics
- Heuristic:Allenai Open instruct BFloat16 Training
- Heuristic:Huggingface Open r1 Test Batch Early Termination
- Heuristic:Haotian liu LLaVA Quantization MM Projector Exclusion
- Heuristic:Haotian liu LLaVA Gradient Checkpointing Memory Optimization
- Heuristic:Iterative Dvc YAML Dual Parser Strategy
- Heuristic:Vibrantlabsai Ragas Temperature Sampling Strategy
- Heuristic:Langfuse Langfuse ClickHouse FINAL Skip Optimization
- Heuristic:Tensorflow Serving Batching Thread Tuning
- Heuristic:Google deepmind Dm control Tolerance Reward Tuning
- Heuristic:Wandb Weave Payload Size Limits
Environments
- Environment:Kubeflow Pipelines KFP Backend Deployment
- Environment:OWASP Www project top 10 for large language model applications PR Description Generator Runtime
- Environment:Anthropics Anthropic sdk python Azure Foundry Environment
- Environment:Marker Inc Korea AutoRAG API Keys And Credentials
- Environment:Vllm project Vllm CUDA Runtime
- Environment:Axolotl ai cloud Axolotl Python Runtime
- Environment:Mage ai Mage ai Singer SDK And Joblib Runtime
- Environment:Dagster io Dagster Container Resource Monitoring
- Environment:Axolotl ai cloud Axolotl Multi GPU
- Environment:Sdv dev SDV GPU CUDA Support