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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:Vllm project Vllm Offline Text Generation
- Workflow:Apache Kafka Broker Startup
- Workflow:Huggingface Trl PPO RLHF Training
- Workflow:Openclaw Openclaw Agent Message Loop
- Workflow:Ollama Ollama Model Pull And Run
- Workflow:InternLM Lmdeploy VLM Inference Pipeline
- Workflow:DataExpert io Data engineer handbook Flink Kafka Streaming Pipeline
- Workflow:Axolotl ai cloud Axolotl DPO Preference Alignment
- Workflow:Kubeflow Pipelines Standalone Deployment
- Workflow:Microsoft Playwright Browser automation CLI
Principles
- Principle:Volcengine Verl Trajectory Reward Shaping
- Principle:OWASP Www project top 10 for large language model applications Risk Scoring and Prioritization
- Principle:ArroyoSystems Arroyo Failure Detection
- Principle:Spotify Luigi External Process Execution
- Principle:Huggingface Datatrove Japanese Word Tokenization
- Principle:ClickHouse ClickHouse Glibc Symbol Replacement
- Principle:Google deepmind Mujoco Sleep System
- Principle:Pyro ppl Pyro Causal Effect Estimation
- Principle:Deepspeedai DeepSpeed ZeRO Parameter Partitioning
- Principle:Apache Dolphinscheduler Connection Pool Management
Implementations
- Implementation:Sktime Pytorch forecasting ResidualBlock
- Implementation:Ucbepic Docetl Directive ArbitraryRewrite
- Implementation:Datajuicer Data juicer RemoveSpecificCharsMapper
- Implementation:SeldonIO Seldon core Seldon Model Load For Experiment
- Implementation:Microsoft Onnxruntime CPU PoolGrad
- Implementation:Neuml Txtai TextToSpeech
- Implementation:Fede1024 Rust rdkafka Message Trait Methods
- Implementation:ARISE Initiative Robosuite BinObject
- Implementation:Microsoft Semantic kernel Process Build And StartAsync
- Implementation:Vespa engine Vespa Build Container Sh
Heuristics
- Heuristic:Duckdb Duckdb Sanitizer Configuration
- Heuristic:Microsoft DeepSpeedExamples LoRA Learning Rate Scaling
- Heuristic:NVIDIA TransformerEngine Sequence Length Alignment
- Heuristic:Langfuse Langfuse BullMQ Retry Strategy Patterns
- Heuristic:Turboderp org Exllamav2 Dynamic Generator Tuning
- Heuristic:Deepset ai Haystack Logging Auto Detection
- Heuristic:Apache Kafka Coordinator Loading Commit Interval
- Heuristic:CarperAI Trlx KL Coefficient Adaptation
- Heuristic:Deepspeedai DeepSpeed Sequence Parallel PyTorch Version
- Heuristic:LLMBook zh LLMBook zh github io IGNORE INDEX Loss Masking
Environments
- Environment:Langfuse Langfuse ClickHouse Analytics
- Environment:Hpcaitech ColossalAI ColossalChat Training Environment
- Environment:Interpretml Interpret Native Libebm Environment
- Environment:Mlflow Mlflow Python Runtime Environment
- Environment:Tensorflow Tfjs Browser Runtime
- Environment:Pyro ppl Pyro Visualization Tools
- Environment:InternLM Lmdeploy Build From Source
- Environment:Openai Openai node Node 20 Runtime
- Environment:Marker Inc Korea AutoRAG API Keys And Credentials
- Environment:Vibrantlabsai Ragas Optional NLP Metrics Environment