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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:Google deepmind Dm control Composer Environment Building
- Workflow:Google deepmind Dm control Multi Agent Soccer Setup
- Workflow:Microsoft Playwright API testing
- Workflow:ARISE Initiative Robosuite Domain Randomization Training
- Workflow:MaterializeInc Materialize Docker Image Build
- Workflow:Cleanlab Cleanlab Object Detection Label Quality
- Workflow:MarketSquare Robotframework browser JavaScript Extension
- Workflow:Langchain ai Langchain Chat Model Invocation
- Workflow:InternLM Lmdeploy LLM API Server Deployment
- Workflow:Openai Openai python Embeddings Generation
Principles
- Principle:Ggml org Llama cpp Speculative Generation
- Principle:Wandb Weave Prompt Versioning
- Principle:Scikit learn contrib Imbalanced learn Instance Hardness Cross Validation
- Principle:LMCache LMCache KV Cache Storage
- Principle:Ggml org Llama cpp RPC Distributed Inference
- Principle:Huggingface Diffusers Pipeline Loading
- Principle:Ggml org Llama cpp State Management
- Principle:Unstructured IO Unstructured Strategy Selection
- Principle:Microsoft Autogen Hierarchical Agent Composition
- Principle:Datahub project Datahub Spark Lineage JAR Setup
Implementations
- Implementation:Apache Paimon FormatPyarrowReader
- Implementation:Bentoml BentoML Internal Types
- Implementation:NVIDIA NeMo Aligner Conftest Fixtures
- Implementation:LMCache LMCache V1 Protocol
- Implementation:FlowiseAI Flowise MainRoutes
- Implementation:Langchain ai Langgraph InjectedStore For Memory
- Implementation:Microsoft LoRA Run XNLI
- Implementation:Ucbepic Docetl SemanticAccessor Usage
- Implementation:Sgl project Sglang CPU RoPE
- Implementation:Microsoft Playwright ImageCompare
Heuristics
- Heuristic:Guardrails ai Guardrails Async Vs Sync Validation Mode
- Heuristic:Teamcapybara Capybara Frozen Time Detection
- Heuristic:Apache Spark Warning Deprecated DStream Streaming
- Heuristic:TobikoData Sqlmesh Execution Time Caching
- Heuristic:NVIDIA TransformerEngine FP8 Checkpoint Compatibility
- Heuristic:Duckdb Duckdb Build Parallelism Tuning
- Heuristic:DataExpert io Data engineer handbook Flink Checkpointing Interval Tuning
- Heuristic:NVIDIA DALI Warning Deprecated C API V1 Functions
- Heuristic:Rapidsai Cuml Dask Data Partitioning
- Heuristic:Unstructured IO Unstructured Warning Deprecated Staging Base
Environments
- Environment:Heibaiying BigData Notes Kafka 2 2 Environment
- Environment:Huggingface Peft Python Core Dependencies
- Environment:Risingwavelabs Risingwave Docker Deployment Environment
- Environment:Arize ai Phoenix Frontend Node 22
- Environment:Huggingface Diffusers PyTorch CUDA Runtime
- Environment:Huggingface Transformers 3D Parallel Multi GPU
- Environment:Apache Flink Java Build Environment
- Environment:Huggingface Datasets JAX Integration
- Environment:Microsoft Playwright Node Runtime Environment
- Environment:Openai CLIP Python Dependencies