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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:Mistralai Client python OCR Document Processing
- Workflow:Getgauge Taiko Form Interaction Testing
- Workflow:SeldonIO Seldon core Model Explainability
- Workflow:Sgl project Sglang Offline Batch Inference
- Workflow:InternLM Lmdeploy LLM Offline Batch Inference
- Workflow:Apache Dolphinscheduler Workflow Execution Lifecycle
- Workflow:Truera Trulens RAG With Guardrails
- Workflow:Treeverse LakeFS Write Audit Publish With Hooks
- Workflow:CrewAIInc CrewAI Sequential Crew Execution
- Workflow:TobikoData Sqlmesh Plan and apply deployment
Principles
- Principle:Sktime Pytorch forecasting Group Normalization
- Principle:Langgenius Dify Feature Configuration
- Principle:InternLM Lmdeploy SmoothQuant Quantization
- Principle:Cleanlab Cleanlab Spurious Correlation Analysis
- Principle:Arize ai Phoenix Span Annotation
- Principle:Iamhankai Forest of Thought Answer Equivalence Checking
- Principle:PacktPublishing LLM Engineers Handbook SageMaker Evaluation Orchestration
- Principle:Apache Kafka JVM Classpath Assembly
- Principle:Apache Shardingsphere Federation Metadata Refresh
- Principle:Helicone Helicone Cache Abstraction
Implementations
- Implementation:SeleniumHQ Selenium Cookie
- Implementation:Open compass VLMEvalKit LLaVABench Utils
- Implementation:Google deepmind Mujoco MJX Warp Forward
- Implementation:Lm sys FastChat AutoModelForCausalLM From Pretrained SFT
- Implementation:Tencent Ncnn RFCN Example
- Implementation:Risingwavelabs Risingwave Load Generation Loop
- Implementation:Helicone Helicone Tailwind Config
- Implementation:CrewAIInc CrewAI LanceDB Adapter
- Implementation:Sktime Pytorch forecasting EncoderDecoderTimeSeriesDataModule
- Implementation:NVIDIA NeMo Curator RayDataExecutor
Heuristics
- Heuristic:Marker Inc Korea AutoRAG GPU Memory Cleanup Pattern
- Heuristic:Langgenius Dify Gevent Monkey Patching Order
- Heuristic:Tensorflow Serving Batching Thread Tuning
- Heuristic:NVIDIA TransformerEngine FP8 Recipe Auto Selection
- Heuristic:Deepspeedai DeepSpeed Sequence Parallel PyTorch Version
- Heuristic:Predibase Lorax Quantization Backend Selection
- Heuristic:Haotian liu LLaVA Image Aspect Ratio Padding Strategy
- Heuristic:Gretelai Gretel synthetics Parallel Generation CUDA Disable
- Heuristic:SqueezeAILab ETS Max Depth And Token Guards
- Heuristic:Eric mitchell Direct preference optimization Disable Sampling During Eval
Environments
- Environment:Sail sg LongSpec Inference Environment
- Environment:Ggml org Ggml Python Tooling Environment
- Environment:Astronomer Astronomer cosmos Python Airflow Runtime
- Environment:Duckdb Duckdb CMake Build Toolchain
- Environment:Langgenius Dify Redis And Celery Environment
- Environment:Vllm project Vllm Buildkite
- Environment:FMInference FlexLLMGen NVMe Disk
- Environment:DevExpress Testcafe Node Runtime
- Environment:Openai Openai python Azure OpenAI
- Environment:Risingwavelabs Risingwave Python Tooling Environment