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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 |
Explore Pages
Workflows
- Workflow:Openai Evals Building a custom eval
- Workflow:Apache Paimon Blob Storage With Descriptors
- Workflow:Duckdb Duckdb Source Amalgamation And Packaging
- Workflow:Apache Spark Release Process
- Workflow:Fede1024 Rust rdkafka Mock Cluster Testing
- Workflow:NVIDIA NeMo Aligner RLHF PPO Training
- Workflow:ClickHouse ClickHouse Server Deployment
- Workflow:Microsoft Semantic kernel Kernel Setup And Chat Completion
- Workflow:Apache Shardingsphere Metadata DDL Refresh
- Workflow:Haotian liu LLaVA LoRA Finetuning
Principles
- Principle:ArroyoSystems Arroyo Worker Scheduling
- Principle:Datahub project Datahub Emitter Lifecycle
- Principle:Haifengl Smile File Data Loading
- Principle:InternLM Lmdeploy W8A8 Quantized Inference
- Principle:Togethercomputer Together python Endpoint Management
- Principle:NVIDIA DALI Generic Iterator
- Principle:Langgenius Dify Docker Infrastructure
- Principle:Huggingface Diffusers Prior Preservation Training
- Principle:Apache Dolphinscheduler Frontend Dependency Management
- Principle:CrewAIInc CrewAI Managed Execution
Implementations
- Implementation:OpenGVLab InternVL Classification Main
- Implementation:Microsoft Onnxruntime CUDA TrainingSplit
- Implementation:Huggingface Open r1 SFTTrainer Usage
- Implementation:CARLA simulator Carla Draw Skeleton Example
- Implementation:Infiniflow Ragflow AvatarUpload Component
- Implementation:Mage ai Mage ai Datadog Streams
- Implementation:Recommenders team Recommenders Notebook Utils
- Implementation:Marker Inc Korea AutoRAG Runner Run
- Implementation:Helicone Helicone MapperBuilder PathMapper
- Implementation:Spotify Luigi ExternalDailySnapshot
Heuristics
- Heuristic:Dagster io Dagster Lazy Import Pattern
- Heuristic:Deepspeedai DeepSpeed Sequence Parallel PyTorch Version
- Heuristic:Haotian liu LLaVA Tokenizer Version Offset Correction
- Heuristic:PeterL1n BackgroundMattingV2 Refine Mode Selection
- Heuristic:Huggingface Optimum GPTQ Quantization Defaults
- Heuristic:Open compass VLMEvalKit Judge Model Selection By Dataset
- Heuristic:Diagram of thought Diagram of thought Typed Records For Auditability
- Heuristic:Mit han lab Llm awq GPU Memory Management Patterns
- Heuristic:LaurentMazare Tch rs MPS Weight Loading Workaround
- Heuristic:MaterializeInc Materialize CI Retry Strategies
Environments
- Environment:Huggingface Datasets TensorFlow Integration
- Environment:Sgl project Sglang Distributed
- Environment:Vllm project Vllm Environment Variables
- Environment:Ggml org Llama cpp Python Conversion Environment
- Environment:Nightwatchjs Nightwatch Selenium WebDriver 4
- Environment:Cohere ai Cohere python Python SDK Runtime
- Environment:Microsoft Onnxruntime CUDA GPU Environment
- Environment:Apache Flink Java Build Environment
- Environment:NVIDIA TransformerEngine GPU Compute Capability
- Environment:Google research Deduplicate text datasets Python TFDS Environment