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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:Lm sys FastChat LoRA QLoRA Finetuning
- Workflow:Microsoft Autogen Multi Agent Conversation
- Workflow:Avhz RustQuant Analytic Option Pricing
- Workflow:Nautechsystems Nautilus trader Strategy development
- Workflow:Microsoft LoRA LoRA Integration
- Workflow:Scikit learn Scikit learn Ensemble Model Building
- Workflow:Infiniflow Ragflow Search Application Setup
- Workflow:Openclaw Openclaw Gateway Operations And Diagnostics
- Workflow:Hpcaitech ColossalAI Supervised Finetuning
- Workflow:Nightwatchjs Nightwatch Component Testing
Principles
- Principle:FlowiseAI Flowise Variable Management
- Principle:Lm sys FastChat Chat Data Cleaning
- Principle:Obss Sahi Image Slicing
- Principle:Confident ai Deepeval Framework Instrumentation
- Principle:CARLA simulator Carla CMake Build Configuration
- Principle:Cohere ai Cohere python SDK Authentication
- Principle:Scikit learn Scikit learn Metric Visualization
- Principle:AUTOMATIC1111 Stable diffusion webui Extension Management
- Principle:TA Lib Ta lib python Version Compatibility
- Principle:Microsoft Onnxruntime Tensor Construction
Implementations
- Implementation:Groq Groq python Embeddings Create
- Implementation:NVIDIA DALI ImageNet Synsets
- Implementation:SeleniumHQ Selenium Closure UI MenuItemRenderer
- Implementation:Microsoft Onnxruntime CUDA SoftmaxGrad
- Implementation:Microsoft Playwright Debugger
- Implementation:Spotify Luigi SparkSubmitTask Execution
- Implementation:Ollama Ollama Imagegen GPT OSS
- Implementation:Lance format Lance Java UpdateOp
- Implementation:Alibaba MNN RapidJSON Schema
- Implementation:Protectai Llm guard Output URLReachability
Heuristics
- Heuristic:ARISE Initiative Robosuite Numba BSOD Workaround
- Heuristic:PrefectHQ Prefect HTTP Connection Pool Tuning
- Heuristic:MaterializeInc Materialize Pipeline Test Trimming Rules
- Heuristic:Dagster io Dagster Mandatory Ruff Formatting
- Heuristic:Tensorflow Tfjs Backend Selection Strategy
- Heuristic:Unslothai Unsloth Gradient Checkpointing Modes
- Heuristic:Bigscience workshop Petals Prompt Embeddings Float32 Precision
- Heuristic:Scikit learn contrib Imbalanced learn Sparse Matrix Handling
- Heuristic:ArroyoSystems Arroyo Worker Heartbeat Timeout
- Heuristic:DataExpert io Data engineer handbook Watermark Late Arrival Tolerance
Environments
- Environment:ClickHouse ClickHouse Systemd Runtime
- Environment:Cleanlab Cleanlab Python Core Environment
- Environment:Triton inference server Server TRT LLM Deployment
- Environment:Iterative Dvc Git SCM Environment
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:Vllm project Vllm CUDA
- Environment:Huggingface Peft Optional Quantization Backends
- Environment:MaterializeInc Materialize Kubernetes Helm Runtime
- Environment:PacktPublishing LLM Engineers Handbook VLLM Evaluation Environment
- Environment:Vllm project Vllm CPU Runtime