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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 |
Explore Pages
Workflows
- Workflow:Zai org CogVideo SAT Finetuning
- Workflow:Recommenders team Recommenders Algorithm Benchmarking
- Workflow:Tensorflow Serving Batched Inference Pipeline
- Workflow:Hpcaitech ColossalAI Model Evaluation
- Workflow:Shiyu coder Kronos Qlib Finetuning
- Workflow:Microsoft Semantic kernel Vector Store RAG Pipeline
- Workflow:Avhz RustQuant Yield Curve Construction
- Workflow:Sail sg LongSpec Speculative Decoding Inference
- Workflow:Explodinggradients Ragas Metric Prompt Optimization
- Workflow:CarperAI Trlx RLHF Dialogue Alignment
Principles
- Principle:TobikoData Sqlmesh Model Definition
- Principle:Interpretml Interpret Interaction Detection
- Principle:Princeton nlp SimPO Benchmark Decontamination
- Principle:Huggingface Diffusers Auto Docstring Generation
- Principle:Tensorflow Serving Static Path Source
- Principle:Lm sys FastChat Prompt Deduplication
- Principle:Tensorflow Serving Performance Monitoring
- Principle:Helicone Helicone Infrastructure Services
- Principle:Infiniflow Ragflow Deployment Prerequisites
- Principle:Apache Spark Streaming Lifecycle Management
Implementations
- Implementation:Lance format Lance Java DynamicContextProvider
- Implementation:Langfuse Langfuse Dataset Items Repository
- Implementation:Sktime Pytorch forecasting TslibBaseModel
- Implementation:Speechbrain Speechbrain Hparams AISHELL1 Transformer
- Implementation:Apache Paimon SpecialFields
- Implementation:Lance format Lance Java CleanupPolicy
- Implementation:Kornia Kornia MobileViT
- Implementation:Ucbepic Docetl Pipeline Run
- Implementation:ARISE Initiative Robomimic Dataset states to obs
- Implementation:Ggml org Ggml Cpu arm repack
Heuristics
- Heuristic:Alibaba ROLL Dynamic Batching Token Limits
- Heuristic:Google deepmind Dm control Physics Timestep Configuration
- Heuristic:Zai org CogVideo Scheduler and Guidance Selection
- Heuristic:PrefectHQ Prefect Concurrency Limit Scoping
- Heuristic:Kubeflow Kubeflow Stale Issue Lifecycle Management
- Heuristic:Ollama Ollama VRAM Recovery And Scheduling
- Heuristic:Huggingface Peft LoRA Default Configuration
- Heuristic:Dotnet Machinelearning AutoML SMAC Dimension Limit
- Heuristic:Openclaw Openclaw Plugin Dependency Gotchas
- Heuristic:Hiyouga LLaMA Factory LoRA DDP Configuration
Environments
- Environment:FlagOpen FlagEmbedding GPU Accelerator Environment
- Environment:SqueezeAILab ETS Evaluation Python Stack
- Environment:DataTalksClub Data engineering zoomcamp PySpark Batch Environment
- Environment:Mlc ai Mlc llm Metal macOS iOS Environment
- Environment:Testtimescaling Testtimescaling github io Semantic Scholar API
- Environment:Apache Spark Release Build Environment
- Environment:LaurentMazare Tch rs Libtorch Build Environment
- Environment:Sktime Pytorch forecasting Core Python Dependencies
- Environment:Eventual Inc Daft Cloud Storage Credentials
- Environment:LMCache LMCache NIXL Transfer Library