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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:Treeverse LakeFS S3 Gateway Integration
- Workflow:Pola rs Polars Time Series Analysis
- Workflow:VainF Torch Pruning Sparse Training Pruning
- Workflow:DataExpert io Data engineer handbook PySpark Job Testing
- Workflow:OpenGVLab InternVL Benchmark Evaluation
- Workflow:Openai Openai node Structured Output Parsing
- Workflow:Ggml org Llama cpp Speculative Decoding
- Workflow:Unslothai Unsloth Model Export And Deployment
- Workflow:Pyro ppl Pyro Bayesian Regression
- Workflow:SeldonIO Seldon core HuggingFace Model Serving
Principles
- Principle:Haifengl Smile Point Data Preparation
- Principle:Explodinggradients Ragas DSPy Prompt Optimization
- Principle:Danijar Dreamerv3 Data Collection And Training
- Principle:Allenai Open instruct Model Configuration
- Principle:Ollama Ollama Hyperparameter Extraction
- Principle:Sgl project Sglang Model Quantization Configuration
- Principle:Guardrails ai Guardrails HubPackageManagement
- Principle:Hiyouga LLaMA Factory Supervised Fine Tuning
- Principle:Anthropics Anthropic sdk python Stream Event Iteration
- Principle:PacktPublishing LLM Engineers Handbook LLM Dataset Generation
Implementations
- Implementation:Openclaw Openclaw OnboardCommand Docker
- Implementation:NVIDIA TransformerEngine Comm GEMM C API
- Implementation:Fastai Fastbook Text Classifier Learner
- Implementation:Apache Druid WorkbenchHistoryDialog
- Implementation:Google deepmind Mujoco XML Native Writer
- Implementation:Google deepmind Dm control Blender Scene
- Implementation:FMInference FlexLLMGen Prompt Utils
- Implementation:Nautechsystems Nautilus trader BacktestEngine Add Data
- Implementation:ARISE Initiative Robomimic Rollout
- Implementation:Mit han lab Llm awq WQLinear from linear
Heuristics
- Heuristic:Kubeflow Kubeflow Stale Issue Lifecycle Management
- Heuristic:Webdriverio Webdriverio Click Interception Workaround
- Heuristic:Apache Kafka JVM GC Tuning Defaults
- Heuristic:Openai CLIP JIT Vs Non JIT Loading
- Heuristic:Farama Foundation Gymnasium Sync Vs Async VectorEnv Selection
- Heuristic:Mistralai Client python Stream File Uploads
- Heuristic:Ggml org Llama cpp Batch Size BLAS Minimum
- Heuristic:Apache Spark Hardware Provisioning Tips
- Heuristic:Huggingface Datasets Warning Deprecated Pandas Builder
- Heuristic:SeldonIO Seldon core Model Load Timeout Tip
Environments
- Environment:ARISE Initiative Robomimic HDF5 Data Dependencies
- Environment:Apache Shardingsphere ZooKeeper Cluster Coordination
- Environment:LMCache LMCache VLLM Serving Engine
- Environment:Shiyu coder Kronos Qlib Data Environment
- Environment:Danijar Dreamerv3 JAX CUDA
- Environment:ARISE Initiative Robosuite GPU Rendering
- Environment:Helicone Helicone Cloudflare Workers Runtime
- Environment:Dotnet Machinelearning TorchSharp Environment
- Environment:EvolvingLMMs Lab Lmms eval GPU Compute Environment
- Environment:Langgenius Dify Python Backend Environment