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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:Kserve Kserve Deploying InferenceService
- Workflow:Mlc ai Mlc llm REST API Serving
- Workflow:Alibaba MNN Python Model Inference
- Workflow:Sail sg LongSpec Speculative Decoding Inference
- Workflow:Open compass VLMEvalKit Video Benchmark Evaluation
- Workflow:Astronomer Astronomer cosmos Kubernetes dbt execution
- Workflow:InternLM Lmdeploy LLM API Server Deployment
- Workflow:Wandb Weave Prompt Management
- Workflow:Heibaiying BigData Notes Hive Data Warehouse Operations
- Workflow:Turboderp org Exllamav2 Multimodal Vision Inference
Principles
- Principle:Online ml River DBSTREAM Clustering
- Principle:Microsoft Autogen Team Execution
- Principle:MarketSquare Robotframework browser Node Dependency Initialization
- Principle:Volcengine Verl Rollout Generation
- Principle:Hpcaitech ColossalAI Document Loading
- Principle:Ollama Ollama Server Initialization
- Principle:Princeton nlp SimPO Dataset Loading and Mixing
- Principle:Interpretml Interpret Rule Based Classification
- Principle:Webdriverio Webdriverio ServiceArchitecture
- Principle:Fastai Fastbook Numericalization
Implementations
- Implementation:Tensorflow Serving caching manager cc
- Implementation:InternLM Lmdeploy AttentionParams
- Implementation:Openai Openai agents python Run Guardrails
- Implementation:BerriAI Litellm Litellm Logging
- Implementation:Openai Whisper Decode
- Implementation:Lance format Lance Java UpdateConfig
- Implementation:Protectai Llm guard Configure otel
- Implementation:Ggml org Llama cpp Memory Recurrent
- Implementation:Ollama Ollama Llama Hparams
- Implementation:DevExpress Testcafe NodeSnapshot TypeDefs
Heuristics
- Heuristic:Ggml org Llama cpp Warning Deprecated Legacy Converters
- Heuristic:Kubeflow Pipelines Component URL Commit SHA Pinning
- Heuristic:Allenai Open instruct Pre Init Torch Distributed
- Heuristic:Huggingface Peft LoRA Default Configuration
- Heuristic:ARISE Initiative Robosuite Hard Reset Vs Soft Reset
- Heuristic:Romsto Speculative Decoding Seed Fixing For Reproducibility
- Heuristic:SeleniumHQ Selenium Thread Safety With ThreadGuard
- Heuristic:Sdv dev SDV Sampling Retry Tuning
- Heuristic:Axolotl ai cloud Axolotl Gradient Checkpointing Reentrant Rules
- Heuristic:Apache Beam Warning Deprecated Twister2 Runner
Environments
- Environment:Apache Flink Java Build Environment
- Environment:Vllm project Vllm Distributed
- Environment:Obss Sahi Python Image Processing
- Environment:Deepset ai Haystack HuggingFace Model Environment
- Environment:LMCache LMCache Python Runtime
- Environment:Alibaba ROLL Python Runtime Environment
- Environment:Liu00222 Open Prompt Injection CUDA Environment
- Environment:Tencent Ncnn PyTorch Environment
- Environment:Predibase Lorax Model Source Credentials
- Environment:Protectai Llm guard Python Runtime Dependencies