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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:Cleanlab Cleanlab Classification Label Issue Detection
- Workflow:Scikit learn contrib Imbalanced learn Ensemble Imbalanced Classification
- Workflow:Lucidrains X transformers Autoregressive Language Modeling
- Workflow:ContextualAI HALOs Model Evaluation
- Workflow:Iamhankai Forest of Thought FoT Benchmark Evaluation
- Workflow:Elevenlabs Elevenlabs python Realtime TTS Streaming
- Workflow:Protectai Llm guard PII Anonymization Deanonymization
- Workflow:Lm sys FastChat MT Bench Evaluation
- Workflow:Apache Dolphinscheduler Workflow Execution Lifecycle
- Workflow:Facebookresearch Audiocraft Model Export And Deployment
Principles
- Principle:Bentoml BentoML API Endpoint Definition
- Principle:EvolvingLMMs Lab Lmms eval Data Sharding
- Principle:Triton inference server Server Request Tracing
- Principle:ARISE Initiative Robosuite Spatial Transforms
- Principle:Huggingface Diffusers Repository Integrity Validation
- Principle:DataTalksClub Data engineering zoomcamp Kestra Staging Load
- Principle:Apache Beam Windmill Connection Setup
- Principle:Obss Sahi Full Image Detection
- Principle:Google deepmind Mujoco Restrict Optimization
- Principle:Ggml org Llama cpp ModelArchitecture
Implementations
- Implementation:Mit han lab Llm awq NVILAStreamGenerator
- Implementation:NVIDIA TransformerEngine Debug Disable Quant Layer
- Implementation:Ollama Ollama Llama Memory Recurrent
- Implementation:Datajuicer Data juicer CharacterRepetitionFilter
- Implementation:Guardrails ai Guardrails Register Validator
- Implementation:OpenRLHF OpenRLHF Create vllm engines
- Implementation:Rapidsai Cuml KMeans DBSCAN HDBSCAN Fit
- Implementation:Iterative Dvc Plan Repro
- Implementation:Ggml org Ggml Cpu riscv repack
- Implementation:Speechbrain Speechbrain GigaSpeech Dataset Root
Heuristics
- Heuristic:Mlc ai Web llm Low Resource Model Selection
- Heuristic:Speechbrain Speechbrain Nonfinite Loss Handling
- Heuristic:EvolvingLMMs Lab Lmms eval Limit Flag Testing Only
- Heuristic:Ggml org Llama cpp Warning Deprecated Legacy Converters
- Heuristic:Scikit learn Scikit learn Data Leakage Prevention
- Heuristic:Mbzuai oryx Awesome LLM Post training Excel Sheet Name Truncation
- Heuristic:Romsto Speculative Decoding Shared Tokenizer Requirement
- Heuristic:OpenGVLab InternVL Pixel Shuffle Downsampling
- Heuristic:Langfuse Langfuse Fail Open Resilience Pattern
- Heuristic:Ray project Ray NaN Score Filtering In PBT
Environments
- Environment:Promptfoo Promptfoo Provider API Keys
- Environment:Haifengl Smile Native BLAS LAPACK ARPACK
- Environment:Huggingface Alignment handbook Python Datasets
- Environment:Openai Openai python Azure OpenAI
- Environment:SeldonIO Seldon core GPU Inference Environment
- Environment:Intel Ipex llm XPU Finetuning Environment
- Environment:Apache Flink Python PyFlink Environment
- Environment:Puppeteer Puppeteer Node 18 Runtime
- Environment:Kubeflow Pipelines Kubernetes Cluster
- Environment:Datahub project Datahub Spark Lineage Environment