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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:Vespa engine Vespa Document indexing pipeline
- Workflow:Dagster io Dagster ML Pipeline
- Workflow:Microsoft Playwright API testing
- Workflow:Lucidrains X transformers Non Autoregressive Masked Generation
- Workflow:Microsoft Playwright Codegen test recording
- Workflow:Fede1024 Rust rdkafka Async Stream Processing
- Workflow:Langchain ai Langgraph ReAct Agent Creation
- Workflow:Bigscience workshop Petals Prompt Tuning Chatbot
- Workflow:Guardrails ai Guardrails Server Deployment
- Workflow:Bentoml BentoML Service Definition And Local Serving
Principles
- Principle:LaurentMazare Tch rs TorchScript Loading
- Principle:Princeton nlp SimPO Response Post Processing
- Principle:Sdv dev SDV Synthesizer Persistence
- Principle:Protectai Llm guard Sensitive Data Detection
- Principle:Avhz RustQuant Error Handling
- Principle:Mlc ai Web llm Tool Definition
- Principle:Eventual Inc Daft Column Transformation
- Principle:Infiniflow Ragflow Search LLM Settings
- Principle:Recommenders team Recommenders NRMS Architecture
- Principle:Explodinggradients Ragas Human Annotation Collection
Implementations
- Implementation:ContextualAI HALOs AutoModelForBradleyTerry From Pretrained
- Implementation:Hpcaitech ColossalAI Dataset Utils
- Implementation:NVIDIA TransformerEngine Float8 Storage
- Implementation:ClickHouse ClickHouse Update Submodules Script
- Implementation:Ggml org Llama cpp Fit Params
- Implementation:Microsoft Autogen Studio Builder Store
- Implementation:Treeverse LakeFS Java SDK Model ObjectStats
- Implementation:FlagOpen FlagEmbedding LLM Embedder Eval LRLM
- Implementation:FMInference FlexLLMGen Compute Metrics
- Implementation:Mlfoundations Open flamingo Get data
Heuristics
- Heuristic:Kserve Kserve Prefix Cache Consistency
- Heuristic:Ollama Ollama Sampling Numerical Stability
- Heuristic:AnswerDotAI RAGatouille FAISS Vs PyTorch KMeans Indexing
- Heuristic:Shiyu coder Kronos Sampling Temperature Tuning
- Heuristic:OpenBMB UltraFeedback GPU Memory Utilization
- Heuristic:Langfuse Langfuse Fail Open Resilience Pattern
- Heuristic:Haosulab ManiSkill Initial Pose Performance
- Heuristic:BerriAI Litellm Streaming Loop Detection
- Heuristic:TA Lib Ta lib python Unstable Period Configuration
- Heuristic:Dagster io Dagster Record Over Dataclass
Environments
- Environment:Diagram of thought Diagram of thought LLM API
- Environment:NVIDIA DALI PyTorch Environment
- Environment:Google deepmind Dm control Python MuJoCo Runtime
- Environment:ClickHouse ClickHouse OpenSSL Runtime
- Environment:Openclaw Openclaw Gateway Network Ports
- Environment:Testtimescaling Testtimescaling github io Python 3 Runtime
- Environment:Sgl project Sglang Triton
- Environment:Huggingface Transformers Flash Attention 2 Env
- Environment:Evidentlyai Evidently Grafana Monitoring Environment
- Environment:Langchain ai Langchain OpenAI API Credentials