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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:Romsto Speculative Decoding Interactive CLI Comparison
- Workflow:Langchain ai Langchain Release Process
- Workflow:Microsoft BIPIA Attack Success Rate Evaluation
- Workflow:Princeton nlp SimPO SimPO Training
- Workflow:Deepspeedai DeepSpeed Sequence Parallel Long Context Training
- Workflow:Trailofbits Fickling Pickle Decompilation and Tracing
- Workflow:Eventual Inc Daft Distributed UDF Processing
- Workflow:NVIDIA NeMo Curator Video Curation Pipeline
- Workflow:Openclaw Openclaw Agent Message Loop
- Workflow:Dotnet Machinelearning AutoML Experiment
Principles
- Principle:Spcl Graph of thoughts Sorting Prompt Design
- Principle:Huggingface Transformers Distributed Process Initialization
- Principle:Sdv dev SDV HMA Synthesis
- Principle:Mlc ai Mlc llm Model Library Packaging
- Principle:Ggml org Ggml Architecture Specific SIMD Quantization
- Principle:Nautechsystems Nautilus trader Order Position Event Handling
- Principle:Langchain ai Langgraph Data Encryption
- Principle:Ray project Ray Autoscaling And Monitoring
- Principle:MaterializeInc Materialize Console Release Coordination
- Principle:Mlc ai Mlc llm Prefill Decode Disaggregation
Implementations
- Implementation:Apache Shardingsphere ViewMetaDataPersistService Persist
- Implementation:DevExpress Testcafe CLI Run Orchestration
- Implementation:FlagOpen FlagEmbedding FlagAutoReranker From Finetuned Validation
- Implementation:Openai Openai python Shared Params Response Format JSON Schema
- Implementation:Tensorflow Serving ProcessPredictRequest
- Implementation:Mlc ai Mlc llm Tokenizer Py
- Implementation:Isaac sim IsaacGymEnvs ModelAMPContinuous
- Implementation:Elevenlabs Elevenlabs python GetKnowledgeBaseSummaryFileResponseModel
- Implementation:ClickHouse ClickHouse Poco HTTPDigestCredentials
- Implementation:Lance format Lance InsertBuilder
Heuristics
- Heuristic:Run llama Llama index Finetuning Warmup Steps
- Heuristic:Mlc ai Mlc llm GPU Memory Budget Tuning
- Heuristic:Facebookresearch Habitat lab Force Single Threaded PyTorch
- Heuristic:Mit han lab Llm awq Skip QK Projection Clipping
- Heuristic:Alibaba MNN Memory Mode Selection
- Heuristic:Openai Evals Event Batching Configuration
- Heuristic:Protectai Modelscan Unknown Opcodes Assume Critical
- Heuristic:Dagster io Dagster Record Over Dataclass
- Heuristic:Allenai Open instruct Pre Init Torch Distributed
- Heuristic:OpenBMB UltraFeedback Score 10 Anomaly Correction
Environments
- Environment:Mlc ai Mlc llm OpenCL Android Environment
- Environment:DataTalksClub Data engineering zoomcamp Kafka Confluent Environment
- Environment:Apache Flink Hadoop Compatibility Environment
- Environment:OpenRLHF OpenRLHF DeepSpeed Environment
- Environment:Hpcaitech ColossalAI GRPO Distributed Environment
- Environment:Microsoft DeepSpeedExamples RLHF Training Environment
- Environment:Apache Flink Java Build Environment
- Environment:Unstructured IO Unstructured Profiling Tools
- Environment:Marker Inc Korea AutoRAG Vector Database Backends
- Environment:EvolvingLMMs Lab Lmms eval Server Mode Environment