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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:CarperAI Trlx RLHF Summarization Pipeline
- Workflow:Protectai Modelscan CLI Model Scanning
- Workflow:Wandb Weave Tracing Setup
- Workflow:Ggml org Llama cpp Interactive Chat
- Workflow:Mlfoundations Open flamingo Model Creation And Inference
- Workflow:Langchain ai Langgraph CLI Deployment
- Workflow:Protectai Llm guard Scanner Benchmarking
- Workflow:DataExpert io Data engineer handbook Flink Kafka Streaming Pipeline
- Workflow:SeldonIO Seldon core Inference Pipeline
- Workflow:DistrictDataLabs Yellowbrick Feature Analysis and Selection
Principles
- Principle:Huggingface Transformers Fully Sharded Data Parallelism
- Principle:Tensorflow Serving Session Safety
- Principle:Microsoft Onnxruntime TensorBoard Monitoring
- Principle:Helicone Helicone Plan Upgrade
- Principle:Cypress io Cypress Binary Installation
- Principle:Ray project Ray Serve Graceful Shutdown
- Principle:Online ml River Drift Adaptive Evaluation
- Principle:Avhz RustQuant Probability Distributions
- Principle:Mage ai Mage ai Source Connector Scaffolding
- Principle:ARISE Initiative Robomimic Dataset Size Filtering
Implementations
- Implementation:Microsoft Playwright Server Instrumentation
- Implementation:Mlc ai Mlc llm Generation Config
- Implementation:PacktPublishing LLM Engineers Handbook ZenML Step Context Metadata
- Implementation:Langfuse Langfuse HandleBatchExportJob
- Implementation:Huggingface Trl SFTTrainer Save Model
- Implementation:Treeverse LakeFS Java SDK Model PullRequestBasic
- Implementation:Apache Dolphinscheduler Plugin Installation Script
- Implementation:NVIDIA TransformerEngine JAX Triton Utils
- Implementation:Sdv dev SDV Metadata Upgrader
- Implementation:Google deepmind Mujoco Engine Solver
Heuristics
- Heuristic:Apache Dolphinscheduler JDBC Security Blocklist
- Heuristic:Duckdb Duckdb Build Parallelism Tuning
- Heuristic:Evidentlyai Evidently Statistical Test Auto Selection
- Heuristic:Bentoml BentoML Warning Deprecated Runner Class
- Heuristic:Ollama Ollama Quantization Layer Selection
- Heuristic:Sgl project Sglang Memory Fraction Tuning
- Heuristic:Openclaw Openclaw Plugin Dependency Gotchas
- Heuristic:Ggml org Ggml Gradient Accumulation Batch Sizing
- Heuristic:MarketSquare Robotframework browser Docker Chrome Security
- Heuristic:Togethercomputer Together python Fine Tuning Parameter Validation
Environments
- Environment:NVIDIA NeMo Curator NVIDIA DALI
- Environment:TobikoData Sqlmesh Dbt Compatibility
- Environment:Nightwatchjs Nightwatch Selenium WebDriver 4
- Environment:Bigscience workshop Petals CUDA Server
- Environment:CrewAIInc CrewAI Python Runtime Environment
- Environment:Ggml org Llama cpp Metal GPU Environment
- Environment:Liu00222 Open Prompt Injection CUDA Environment
- Environment:Huggingface Datatrove Python Runtime
- Environment:Huggingface Peft Optional Quantization Backends
- Environment:Hiyouga LLaMA Factory Optional Inference Backends