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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:Lakeraai Pint benchmark Custom Dataset Benchmarking
- Workflow:Mlflow Mlflow Model Serving
- Workflow:SeldonIO Seldon core AB Testing Experiment
- Workflow:TobikoData Sqlmesh Github CICD automation
- Workflow:Langgenius Dify Plugin Installation and Configuration
- Workflow:Speechbrain Speechbrain Whisper ASR Finetuning
- Workflow:PeterL1n BackgroundMattingV2 Training pipeline
- Workflow:Googleapis Python genai Context Caching
- Workflow:Helicone Helicone Integrate Provider To Gateway
- Workflow:Norrrrrrr lyn WAInjectBench Image Prompt Injection Detection
Principles
- Principle:Openai Whisper Single Segment Decoding
- Principle:Elevenlabs Elevenlabs python Batch Speech to Text
- Principle:Sail sg LongSpec Math Equivalence Evaluation
- Principle:Kserve Kserve Model Lifecycle Management
- Principle:Deepspeedai DeepSpeed Pipeline Engine Init
- Principle:EvolvingLMMs Lab Lmms eval Few Shot Sampling
- Principle:Openclaw Openclaw Onboarding Wizard
- Principle:NVIDIA NeMo Aligner Reward Model Serving
- Principle:AUTOMATIC1111 Stable diffusion webui Text Encoding
- Principle:Ggml org Llama cpp Model Architecture Support
Implementations
- Implementation:BerriAI Litellm Tag Based Routing
- Implementation:Ollama Ollama MLXRunner MLX Generated C
- Implementation:Open compass VLMEvalKit Chameleon
- Implementation:Huggingface Datasets DatasetBuilder As Dataset
- Implementation:Recommenders team Recommenders NCF Init And Fit
- Implementation:Lance format Lance DataFrameExt
- Implementation:Open compass VLMEvalKit llama4
- Implementation:VainF Torch Pruning Node
- Implementation:LaurentMazare Tch rs Nn Conv2d
- Implementation:Helicone Helicone BaseProvider
Heuristics
- Heuristic:Explodinggradients Ragas LLM Temperature Defaults
- Heuristic:Apache Spark Memory Tuning Tips
- Heuristic:Googleapis Python genai AFC Max Remote Calls Limit
- Heuristic:Huggingface Peft DoRA Inference Caching
- Heuristic:Lm sys FastChat GPU Memory Allocation Strategy
- Heuristic:Microsoft Semantic kernel Prompt Injection Safety
- Heuristic:Zai org CogVideo Data Preparation Best Practices
- Heuristic:OpenBMB UltraFeedback Principle Distribution Tuning
- Heuristic:Spcl Graph of thoughts Budget Gated Benchmark Execution
- Heuristic:Duckdb Duckdb PR Submission Strategy
Environments
- Environment:Openai Evals Python Runtime
- Environment:Junyanz Pytorch CycleGAN and pix2pix Python PyTorch Runtime
- Environment:Shiyu coder Kronos HuggingFace Hub Access
- Environment:Kserve Kserve Knative Serving
- Environment:FlowiseAI Flowise Node Runtime Environment
- Environment:ThreeSR Awesome Inference Time Scaling Python Runtime Environment
- Environment:Ray project Ray CI Build Matrix Environment
- Environment:CARLA simulator Carla Python API Runtime
- Environment:Marker Inc Korea AutoRAG Japanese NLP Dependencies
- Environment:Interpretml Interpret Blackbox Explainer Dependencies