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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:Eventual Inc Daft Multimodal AI Batch Inference
- Workflow:OpenHands OpenHands Third Party Runtime Integration
- Workflow:Spotify Luigi Spark Processing Pipeline
- Workflow:Avhz RustQuant Analytic Option Pricing
- Workflow:AnswerDotAI RAGatouille ColBERT Training
- Workflow:Danijar Dreamerv3 Single Process Training
- Workflow:Mlc ai Mlc llm Python Engine Inference
- Workflow:OpenGVLab InternVL Preference Optimization
- Workflow:Risingwavelabs Risingwave Streaming ETL Pipeline
- Workflow:Mlc ai Web llm Chrome Extension Integration
Principles
- Principle:ARISE Initiative Robosuite Placement Sampling
- Principle:OpenGVLab InternVL Vision Encoder LoRA
- Principle:Fastai Fastbook Stochastic Gradient Descent
- Principle:Dagster io Dagster DSPy Prompt Optimization
- Principle:Ggml org Llama cpp ResourceManagement
- Principle:Lm sys FastChat Environment Setup
- Principle:ARISE Initiative Robomimic Custom Observation Modality Extension
- Principle:Ray project Ray Named Actor Retrieval
- Principle:Tensorflow Serving Canary Deployment
- Principle:Togethercomputer Together python CLI Interface
Implementations
- Implementation:Anthropics Anthropic sdk python Messages Create
- Implementation:Openai Openai python BaseModel Validation
- Implementation:Scikit learn Scikit learn BaseMixture
- Implementation:Openai Openai agents python Runner Run Streamed
- Implementation:Alibaba ROLL DistillConfig
- Implementation:Kserve Kserve LLMInferenceService Minimal CRD
- Implementation:Speechbrain Speechbrain Train RescueSpeech
- Implementation:ClickHouse ClickHouse ArithmeticOverflow
- Implementation:Bentoml BentoML IO Descriptor Image
- Implementation:CrewAIInc CrewAI S3 Writer Tool
Heuristics
- Heuristic:Truera Trulens Rate Limiting And Retry Strategy
- Heuristic:AUTOMATIC1111 Stable diffusion webui GTX 16 Series FP16 Workaround
- Heuristic:Run llama Llama index Embedding Batch Size Tuning
- Heuristic:Triton inference server Server Server Default Configuration
- Heuristic:AnswerDotAI RAGatouille Collection Size Index Tuning
- Heuristic:Dotnet Machinelearning Sparsity Threshold Optimization
- Heuristic:Langchain ai Langchain Warning Deprecated AnthropicLLM
- Heuristic:Bentoml BentoML Adaptive Batching Tuning
- Heuristic:Danijar Dreamerv3 Free Nats KL Thresholding
- Heuristic:FlagOpen FlagEmbedding Gradient Checkpointing Tip
Environments
- Environment:Alibaba MNN GPU OpenCL Environment
- Environment:Getgauge Taiko Linux System Libraries
- Environment:Anthropics Anthropic sdk python Azure Foundry Environment
- Environment:Tensorflow Tfjs Python Converter
- Environment:Deepset ai Haystack HuggingFace Model Environment
- Environment:Rapidsai Cuml Python RAPIDS Stack
- Environment:Isaac sim IsaacGymEnvs IsaacGym Preview 4
- Environment:Microsoft Agent framework API Credentials
- Environment:Unstructured IO Unstructured PDF Dependencies
- Environment:Promptfoo Promptfoo Node Runtime