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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:InternLM Lmdeploy LLM API Server Deployment
- Workflow:Huggingface Diffusers ControlNet Guided Generation
- Workflow:Deepspeedai DeepSpeed Hybrid Engine RLHF Training
- Workflow:Apache Shardingsphere Dynamic Rule Configuration Change
- Workflow:Predibase Lorax Structured JSON Output
- Workflow:MarketSquare Robotframework browser API Testing via Browser
- Workflow:CrewAIInc CrewAI Hierarchical Crew Execution
- Workflow:Googleapis Python genai Image Generation Pipeline
- Workflow:Junyanz Pytorch CycleGAN and pix2pix CycleGAN Training
- Workflow:Facebookresearch Audiocraft MusicGen Text To Music Inference
Principles
- Principle:Microsoft Onnxruntime Trained Model Export
- Principle:MarketSquare Robotframework browser Plugin Documentation Generation
- Principle:NVIDIA DALI TensorFlow Dataset Integration
- Principle:Scikit learn Scikit learn Feature Importance Analysis
- Principle:AUTOMATIC1111 Stable diffusion webui Diffusion Sampling Methods
- Principle:Tensorflow Serving Loader Abstraction
- Principle:Iamhankai Forest of Thought Answer Equivalence Checking
- Principle:Apache Beam Result Collection
- Principle:Pyro ppl Pyro Autoregressive Networks
- Principle:Openai Openai python Input Token Counting
Implementations
- Implementation:Pyro ppl Pyro SV DKL
- Implementation:Getgauge Taiko TextBox
- Implementation:Tensorflow Serving Tfrt Saved Model Warmup
- Implementation:Openai Openai node Files WaitForProcessing
- Implementation:Microsoft Playwright CrDragDrop
- Implementation:Kserve Kserve LLM Prefill Worker DP Config
- Implementation:Open compass VLMEvalKit CGBench MCQ Grounding Mini
- Implementation:Helicone Helicone FrontendFilterDefs
- Implementation:ArroyoSystems Arroyo UDF CRUD
- Implementation:Run llama Llama index LLM Utils
Heuristics
- Heuristic:Pola rs Polars Avoid Lambda In Aggregation
- Heuristic:Spotify Luigi Streaming MapReduce Processing
- Heuristic:Openai Openai node Warning Deprecated Assistants API
- Heuristic:Huggingface Datasets Num Proc Guidelines
- Heuristic:Langgenius Dify Warning Deprecated Default Datasource Auth
- Heuristic:Facebookresearch Audiocraft Audio Normalization Strategies
- Heuristic:Microsoft LoRA Warning Deprecated Legacy Examples
- Heuristic:Microsoft Semantic kernel Telemetry Log Level Configuration
- Heuristic:Apache Kafka JVM GC Tuning Defaults
- Heuristic:Treeverse LakeFS Presigned URL Expiry Tip
Environments
- Environment:Lm sys FastChat Python Core Dependencies
- Environment:Huggingface Trl vLLM Generation Environment
- Environment:Evidentlyai Evidently Spark Engine Environment
- Environment:Mbzuai oryx Awesome LLM Post training Git CLI
- Environment:Openclaw Openclaw Docker Deployment Environment
- Environment:Mbzuai oryx Awesome LLM Post training Python Pandas
- Environment:Haosulab ManiSkill GPU CUDA Simulation
- Environment:Isaac sim IsaacGymEnvs IsaacGym Preview 4
- Environment:Microsoft DeepSpeedExamples ZeRO Inference Runtime
- Environment:Datajuicer Data juicer LLM API Credentials Environment