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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:Obss Sahi COCO Dataset Slicing
- Workflow:Infiniflow Ragflow Docker Deployment
- Workflow:Microsoft Agent framework Declarative Agent Definition
- Workflow:CarperAI Trlx SFT Instruction Tuning
- Workflow:NVIDIA NeMo Aligner RLHF PPO Training
- Workflow:Neuml Txtai API Deployment
- Workflow:DataTalksClub Data engineering zoomcamp dlt Data Ingestion
- Workflow:Microsoft Agent framework Basic Agent Creation
- Workflow:ChenghaoMou Text dedup SimHash Deduplication
- Workflow:Huggingface Transformers Model Training With Trainer
Principles
- Principle:Ggml org Llama cpp Evaluation Parameter Configuration
- Principle:Ggml org Llama cpp ModelConversion
- Principle:Facebookresearch Habitat lab Evaluation Execution
- Principle:Haotian liu LLaVA Multimodal Response Generation
- Principle:FMInference FlexLLMGen Offloading Policy Configuration
- Principle:Volcengine Verl Split Resource Placement
- Principle:CrewAIInc CrewAI Managed Execution
- Principle:Puppeteer Puppeteer Request Handling
- Principle:FlagOpen FlagEmbedding LLM Representation Learning
- Principle:Infiniflow Ragflow Parser Options Configuration
Implementations
- Implementation:Vespa engine Vespa Model Integration ABI Spec
- Implementation:BerriAI Litellm S3 Cache
- Implementation:Huggingface Datasets Lance Builder
- Implementation:ARISE Initiative Robosuite GymWrapper
- Implementation:Dagster io Dagster Vercel Redirect Configuration
- Implementation:Avhz RustQuant RidgeRegression
- Implementation:Lance format Lance Java RestoreOp
- Implementation:AUTOMATIC1111 Stable diffusion webui Img2img init
- Implementation:Microsoft Autogen Studio Eval Judges
- Implementation:Neuml Txtai API Create
Heuristics
- Heuristic:Axolotl ai cloud Axolotl Sample Packing Best Practices
- Heuristic:Farama Foundation Gymnasium Sync Vs Async VectorEnv Selection
- Heuristic:Cleanlab Cleanlab Confident Threshold Heuristic
- Heuristic:Deepspeedai DeepSpeed Shared Memory Sizing
- Heuristic:Google deepmind Dm control MJCF Model Composition Gotchas
- Heuristic:Bentoml BentoML Thread Env Vars Setting
- Heuristic:OpenGVLab InternVL LoRA Alpha Scaling
- Heuristic:Langchain ai Langgraph Retry Policy Configuration
- Heuristic:ContextualAI HALOs Reference Logprob Caching
- Heuristic:Microsoft Onnxruntime Memory Recomputation Optimization
Environments
- Environment:Vllm project Vllm Benchmarks
- Environment:Huggingface Alignment handbook Evaluation Tools
- Environment:Trailofbits Fickling Python Runtime
- Environment:Neuml Txtai GPU Accelerator Detection
- Environment:Intel Ipex llm NPU Cpp Environment
- Environment:Intel Ipex llm XPU Inference Environment
- Environment:DevExpress Testcafe Node Runtime
- Environment:Unslothai Unsloth Llama Cpp
- Environment:CrewAIInc CrewAI Optional Provider Dependencies
- Environment:Kubeflow Kubeflow Python KFP SDK Environment