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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:CARLA simulator Carla Traffic Generation
- Workflow:Openai Whisper Audio Transcription
- Workflow:Cohere ai Cohere python Semantic Search With Rerank
- Workflow:Scikit learn contrib Imbalanced learn Balanced Deep Learning Training
- Workflow:PacktPublishing LLM Engineers Handbook Feature Engineering
- Workflow:Pola rs Polars DataFrame Aggregation and Grouping
- Workflow:Avhz RustQuant Analytic Option Pricing
- Workflow:Speechbrain Speechbrain Speech Enhancement Training
- Workflow:SeldonIO Seldon core AB Testing Experiment
- Workflow:Vespa engine Vespa Document indexing pipeline
Principles
- Principle:Apache Druid Publication Settings
- Principle:Triton inference server Server Ensemble Pipeline Testing
- Principle:Apache Hudi Result Delivery
- Principle:Microsoft Semantic kernel Process Framework Frontend
- Principle:Apache Beam Job Preparation
- Principle:Lucidrains X transformers Hybrid Discrete Continuous Tokens
- Principle:PrefectHQ Prefect AI Approval Gate
- Principle:OpenRLHF OpenRLHF Ray Cluster Initialization
- Principle:Treeverse LakeFS GC Job Execution
- Principle:Deepspeedai DeepSpeed DeepSpeed Configuration
Implementations
- Implementation:Langchain ai Langgraph BaseStore And InMemoryStore
- Implementation:Ggml org Ggml Ggml backend sched graph compute
- Implementation:Microsoft DeepSpeedExamples HelloDeepSpeed Train Bert DS
- Implementation:Sktime Pytorch forecasting QuantileLoss
- Implementation:Speechbrain Speechbrain Train GigaSpeech Transducer
- Implementation:Online ml River Sketch Set
- Implementation:Ggml org Llama cpp Jinja Caps Header
- Implementation:Ggml org Llama cpp Q8dot Benchmark
- Implementation:Microsoft Playwright Trace Mode Config
- Implementation:Tensorflow Serving Server Core Test
Heuristics
- Heuristic:Cohere ai Cohere python ToolCallV2 Auto UUID Override
- Heuristic:Pytorch Serve Ampere Tensor Core Optimization
- Heuristic:Nautechsystems Nautilus trader Cache Buffer Interval Tuning
- Heuristic:LLMBook zh LLMBook zh github io LoRA Initialization Strategy
- Heuristic:Openai Whisper KV Cache Optimization
- Heuristic:Danijar Dreamerv3 Replay Context Carry Init
- Heuristic:Infiniflow Ragflow Agent Max Rounds Strategy
- Heuristic:Treeverse LakeFS Retry Backoff Configuration
- Heuristic:ThreeSR Awesome Inference Time Scaling Empty Venue Default Tip
- Heuristic:Kubeflow Pipelines Cache Staleness In Recursive Pipelines
Environments
- Environment:OpenBMB UltraFeedback OpenAI API Environment
- Environment:Microsoft LoRA NLG Eval External Tools
- Environment:Pola rs Polars Cloud Storage Environment
- Environment:Microsoft Onnxruntime Windows Build Environment
- Environment:Dotnet Machinelearning OneDal Acceleration
- Environment:Puppeteer Puppeteer Cross Platform Browser Environment
- Environment:DevExpress Testcafe Node Runtime
- Environment:PacktPublishing LLM Engineers Handbook Python 3 11 Poetry Environment
- Environment:Sgl project Sglang CUDA Runtime
- Environment:Openai Openai node OpenAI API Credentials