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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:SeldonIO Seldon core AB Testing Experiment
- Workflow:Pyro ppl Pyro Bayesian Regression
- Workflow:Turboderp org Exllamav2 Interactive Chat
- Workflow:Groq Groq python Batch Processing
- Workflow:InternLM Lmdeploy VLM Inference Pipeline
- Workflow:Googleapis Python genai Function Calling and Tools
- Workflow:Iterative Dvc Remote Data Sync
- Workflow:Apache Paimon Data Ingestion With Ray Sink
- Workflow:Bitsandbytes foundation Bitsandbytes 8bit Optimizer Training
- Workflow:SeldonIO Seldon core Model Deployment
Principles
- Principle:SeldonIO Seldon core Drift And Outlier Detection Training
- Principle:Pyro ppl Pyro Observation Conditioning
- Principle:Googleapis Python genai Live Streaming
- Principle:Mbzuai oryx Awesome LLM Post training Progressive Data Checkpointing
- Principle:Norrrrrrr lyn WAInjectBench Ensemble Aggregation Text
- Principle:Recommenders team Recommenders Spark Evaluation Metrics
- Principle:Alibaba ROLL Megatron LoRA Adaptation
- Principle:MaterializeInc Materialize Platform Check Pattern
- Principle:ClickHouse ClickHouse Code Review Process
- Principle:Openai Openai agents python Shared Context
Implementations
- Implementation:Openai Openai python Eval List Params
- Implementation:Online ml River Imblearn RandomSampler
- Implementation:Cohere ai Cohere python API Key From Environment
- Implementation:Mlc ai Web llm Response Format
- Implementation:Microsoft Onnxruntime ESLintConfig
- Implementation:Avhz RustQuant OrderBook
- Implementation:Apache Airflow TaskInstance Listener Spec
- Implementation:LMCache LMCache Valkey Connector
- Implementation:FlowiseAI Flowise SelectVariable
- Implementation:NVIDIA NeMo Aligner Compute Topk Logits
Heuristics
- Heuristic:Sgl project Sglang Schedule Conservativeness Tuning
- Heuristic:Getgauge Taiko Navigation Wait Strategy
- Heuristic:Intel Ipex llm Use Cache Training Vs Inference
- Heuristic:LMCache LMCache Memory Fragmentation Budget
- Heuristic:Microsoft LoRA Warning Deprecated Legacy Examples
- Heuristic:Princeton nlp Tree of thought llm Duplicate Candidate Zeroing
- Heuristic:Facebookresearch Audiocraft Codebook Dead Code Expiration
- Heuristic:Langfuse Langfuse BullMQ Retry Strategy Patterns
- Heuristic:MaterializeInc Materialize Dbt Transaction Disable
- Heuristic:Hpcaitech ColossalAI Empty Cache Between Phases
Environments
- Environment:SeldonIO Seldon core Python ML Dependencies Environment
- Environment:Interpretml Interpret Blackbox Explainer Dependencies
- Environment:TobikoData Sqlmesh Snowflake Connection
- Environment:Huggingface Diffusers PyTorch CUDA Runtime
- Environment:Vllm project Vllm CUDA GPU Runtime
- Environment:Kserve Kserve Cert Manager
- Environment:Alibaba MNN GPU CUDA Environment
- Environment:BerriAI Litellm Python Runtime
- Environment:Vespa engine Vespa FNET Transport Config
- Environment:CARLA simulator Carla Build From Source Requirements