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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:CarperAI Trlx RLHF Summarization Pipeline
- Workflow:Langfuse Langfuse Batch export pipeline
- Workflow:Webdriverio Webdriverio Cloud Service Integration
- Workflow:Evidentlyai Evidently Text Data Quality Evaluation
- Workflow:SeldonIO Seldon core Model Deployment
- Workflow:Ray project Ray Actor Lifecycle Management
- Workflow:Sgl project Sglang ModelOpt Quantization And Export
- Workflow:OWASP Www project top 10 for large language model applications Agentic Security Assessment
- Workflow:Guardrails ai Guardrails Streaming Validation
- Workflow:Lance format Lance Table Optimization
Principles
- Principle:Mit han lab Llm awq Activation Aware Weight Quantization
- Principle:Princeton nlp SimPO Multi Seed Response Generation
- Principle:Haotian liu LLaVA Custom Dataset Formatting
- Principle:EvolvingLMMs Lab Lmms eval Queue Monitoring
- Principle:Ggml org Llama cpp KVCacheManagement
- Principle:Vespa engine Vespa Cloud Deployment Context
- Principle:Astronomer Astronomer cosmos Airflow Plugin Documentation Hosting
- Principle:Junyanz Pytorch CycleGAN and pix2pix Unpaired Image Translation
- Principle:OWASP Www project top 10 for large language model applications Threat Modeling Against Top 10
- Principle:Openai Openai node Training Data Upload
Implementations
- Implementation:Turboderp org Exllamav2 Ext Bindings
- Implementation:Huggingface Transformers Setup Py
- Implementation:CARLA simulator Carla Client Start Recorder
- Implementation:Tencent Ncnn Torch Jit Trace
- Implementation:Kubeflow Pipelines Kubernetes PVC Sample
- Implementation:Microsoft Autogen Studio MCP Capabilities Panel
- Implementation:ArroyoSystems Arroyo Create Connection Table
- Implementation:Guardrails ai Guardrails Validator Chunking Function
- Implementation:FlagOpen FlagEmbedding LLM Reranker Evaluate
- Implementation:NVIDIA DALI FITS Parser
Heuristics
- Heuristic:Infiniflow Ragflow Agent Max Rounds Strategy
- Heuristic:Intel Ipex llm Use Cache Training Vs Inference
- Heuristic:NVIDIA DALI Memory Pool Tuning
- Heuristic:Snorkel team Snorkel Precision Init Prior
- Heuristic:Neuml Txtai MacOS OpenMP Workaround
- Heuristic:Explodinggradients Ragas Concurrency And Rate Limiting
- Heuristic:Mlfoundations Open flamingo FSDP Manual Wrapping For Mixed Parameters
- Heuristic:LLMBook zh LLMBook zh github io LoRA Initialization Strategy
- Heuristic:Haosulab ManiSkill Rendering Memory Optimization
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Strategy Selection
Environments
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:CARLA simulator Carla Python API Runtime
- Environment:Vllm project Vllm CUDA Hopper
- Environment:InternLM Lmdeploy CUDA GPU Runtime
- Environment:LaurentMazare Tch rs Python Interop Environment
- Environment:Tencent Ncnn Build Environment
- Environment:Lance format Lance SIMD And Platform Requirements
- Environment:Haifengl Smile Java 25 Runtime
- Environment:Vibrantlabsai Ragas LLM Provider Credentials
- Environment:Apache Paimon Optional Extensions