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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:Kubeflow Kubeflow AI Lifecycle Pipeline
- Workflow:Microsoft Agent framework Graph Based Workflow Execution
- Workflow:InternLM Lmdeploy LLM API Server Deployment
- Workflow:CrewAIInc CrewAI Custom Tool Integration
- Workflow:Run llama Llama index Evaluation Pipeline
- Workflow:Risingwavelabs Risingwave Sink Connector Pipeline
- Workflow:OpenRLHF OpenRLHF Reward Model Training
- Workflow:Huggingface Alignment handbook QLoRA Single GPU Finetuning
- Workflow:Danijar Dreamerv3 Distributed Parallel Training
- Workflow:Kserve Kserve LLM Disaggregated Serving
Principles
- Principle:Langgenius Dify Application Publishing
- Principle:Lucidrains X transformers Causal Decoder Configuration
- Principle:ArroyoSystems Arroyo UDF Validation
- Principle:Isaac sim IsaacGymEnvs Runtime Randomization
- Principle:Langgenius Dify DataTransformation
- Principle:Datajuicer Data juicer Column Wise Distribution Analysis
- Principle:Haosulab ManiSkill IL Policy Evaluation
- Principle:VainF Torch Pruning Magnitude Importance
- Principle:Microsoft Semantic kernel Search Provider Test Fixtures
- Principle:Anthropics Anthropic sdk python Tool Definition
Implementations
- Implementation:Turboderp org Exllamav2 ExLlamaV2Config
- Implementation:Mit han lab Llm awq NVILAQwen2
- Implementation:SeleniumHQ Selenium HasContext
- Implementation:Arize ai Phoenix Add Span Annotation
- Implementation:DevExpress Testcafe RequestHook TypeDefs
- Implementation:Triton inference server Server GenQaModels
- Implementation:Openai Evals FewShotSolver
- Implementation:Unslothai Unsloth FastSentenceTransformer
- Implementation:Kserve Kserve DP EP Deployment Pattern
- Implementation:Online ml River Multioutput MultiClassEncoder
Heuristics
- Heuristic:Shiyu coder Kronos Instance Normalization Clipping
- Heuristic:Cohere ai Cohere python Tokenizer Cache With TTL
- Heuristic:Gretelai Gretel synthetics Binary Encoder Cutoff
- Heuristic:SqueezeAILab ETS Embedding Model GPU Collocation
- Heuristic:Risingwavelabs Risingwave Source Backoff Strategy
- Heuristic:Langchain ai Langchain Warning Deprecated AnthropicLLM
- Heuristic:Haotian liu LLaVA Quantization MM Projector Exclusion
- Heuristic:Openai Whisper KV Cache Optimization
- Heuristic:AUTOMATIC1111 Stable diffusion webui VRAM Management Strategies
- Heuristic:BerriAI Litellm Retry Backoff Strategy
Environments
- Environment:Guardrails ai Guardrails Docker Server Runtime
- Environment:Pytorch Serve DeepSpeed Environment
- Environment:MarketSquare Robotframework browser CI GitHub Actions
- Environment:PacktPublishing LLM Engineers Handbook Selenium Chrome Crawler Environment
- Environment:Apache Shardingsphere Etcd Cluster Coordination
- Environment:Elevenlabs Elevenlabs python Python Httpx
- Environment:Risingwavelabs Risingwave Python Tooling Environment
- Environment:OpenGVLab InternVL DeepSpeed
- Environment:Eric mitchell Direct preference optimization Python Dependencies
- Environment:Huggingface Diffusers Quantization Environment