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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:Vibrantlabsai Ragas Testset Generation
- Workflow:Wandb Weave SDK Release
- Workflow:AUTOMATIC1111 Stable diffusion webui Image to image generation
- Workflow:Shiyu coder Kronos Single Series Prediction
- Workflow:Nightwatchjs Nightwatch Programmatic API Usage
- Workflow:MarketSquare Robotframework browser Browser Test Authoring
- Workflow:PrefectHQ Prefect Asset Based Data Pipeline
- Workflow:OWASP Www project top 10 for large language model applications Agentic Security Assessment
- Workflow:NVIDIA DALI Custom Operator Development
- Workflow:Openai Openai python Embeddings Generation
Principles
- Principle:Google deepmind Mujoco Rendering Context Setup
- Principle:Wandb Weave Decorator Style Enforcement
- Principle:Triton inference server Server Ensemble Inference
- Principle:Mlflow Mlflow Model Registration
- Principle:Datahub project Datahub Batch Ingestion Execution
- Principle:Scikit learn Scikit learn Density Estimation
- Principle:Promptfoo Promptfoo Configuration Loading
- Principle:PrefectHQ Prefect Asset Definition
- Principle:Tencent Ncnn Autoregressive Sequence Decoding
- Principle:PacktPublishing LLM Engineers Handbook LLM As Judge Evaluation
Implementations
- Implementation:Scikit learn Scikit learn TruncatedSVD
- Implementation:Puppeteer Puppeteer Cdp Input
- Implementation:Openai Evals MMMU Eval Config
- Implementation:CARLA simulator Carla WheelPhysicsControl
- Implementation:Evidentlyai Evidently Legacy IsValidJSON Feature
- Implementation:Apache Flink Pool
- Implementation:Alibaba ROLL RewardFL ActorWorker Train Step
- Implementation:Apache Druid TasksCard
- Implementation:FlagOpen FlagEmbedding Reinforced IR Model
- Implementation:Mlc ai Mlc llm Convert Tiktoken
Heuristics
- Heuristic:OpenHands OpenHands Fail Open Rate Limiting
- Heuristic:BerriAI Litellm Streaming Loop Detection
- Heuristic:Romsto Speculative Decoding Filler Top K Tuning
- Heuristic:Datahub project Datahub Emitter Selection Strategy
- Heuristic:Scikit learn Scikit learn Convergence Warning Handling
- Heuristic:Avdvg InjectGuard Sim K Threshold Tuning
- Heuristic:Eric mitchell Direct preference optimization RMSprop Over Adam
- Heuristic:Neuml Txtai MacOS OpenMP Workaround
- Heuristic:Arize ai Phoenix AIMD Concurrency Control
- Heuristic:Huggingface Datatrove VLLM Startup Optimization
Environments
- Environment:Huggingface Alignment handbook Python Transformers
- Environment:NVIDIA NeMo Curator RAPIDS GPU Stack
- Environment:Protectai Llm guard API Server Deployment
- Environment:Microsoft Playwright Platform Support Environment
- Environment:Pola rs Polars Rust Build Environment
- Environment:Explodinggradients Ragas Python Runtime Environment
- Environment:Confident ai Deepeval Python 3 9 Runtime
- Environment:PeterL1n BackgroundMattingV2 PyTorch CUDA
- Environment:LMCache LMCache VLLM Serving Engine
- Environment:Deepspeedai DeepSpeed XPU Environment