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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 |
Explore Pages
Workflows
- Workflow:LLMBook zh LLMBook zh github io Inference and Quantization
- Workflow:LMCache LMCache KV Cache Offloading
- Workflow:Apache Flink Stream File Compaction
- Workflow:Microsoft Onnxruntime Python Inference Pipeline
- Workflow:Interpretml Interpret Model Explanation And Visualization
- Workflow:TobikoData Sqlmesh Github CICD automation
- Workflow:Webdriverio Webdriverio Cloud Service Integration
- Workflow:Openclaw Openclaw Docker Deployment
- Workflow:ContextualAI HALOs Reward Model Training
- Workflow:Apache Dolphinscheduler Workflow Execution Lifecycle
Principles
- Principle:Facebookresearch Habitat lab Benchmark Configuration
- Principle:Datajuicer Data juicer Data Selection
- Principle:HKUDS AI Trader Agent Class Resolution
- Principle:Ollama Ollama CLIStartup
- Principle:EvolvingLMMs Lab Lmms eval Task Directory Structure
- Principle:Mlfoundations Open flamingo FSDP Model Wrapping
- Principle:Pyro ppl Pyro Autoregressive Networks
- Principle:Haifengl Smile Data Transformation
- Principle:Trailofbits Fickling ML Allowlist Unpickling
- Principle:Confident ai Deepeval Synthetic Data Synthesis
Implementations
- Implementation:Online ml River Tree Splitter Gaussian
- Implementation:Tensorflow Serving Simple Loader Test
- Implementation:Intel Ipex llm Merge Adapter
- Implementation:LMCache LMCache V1 Server
- Implementation:FlowiseAI Flowise ProfileSection
- Implementation:Kubeflow Pipelines MLMD Store Protobuf
- Implementation:Zai org CogVideo CogVideoXPipeline Call
- Implementation:Microsoft Agent framework Custom Aggregator Callback
- Implementation:Alibaba MNN Diffusion Demo CLI
- Implementation:Explodinggradients Ragas Collections RougeScore Metric
Heuristics
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Identity Loss Color Preservation
- Heuristic:Sktime Pytorch forecasting Batch Size Selection
- Heuristic:PeterL1n BackgroundMattingV2 Checkpoint Interval Tuning
- Heuristic:Infiniflow Ragflow Hybrid Search Fallback Strategy
- Heuristic:Puppeteer Puppeteer Chrome Default Launch Arguments
- Heuristic:Elevenlabs Elevenlabs python Audio Buffer Sizes
- Heuristic:Vespa engine Vespa RPM Zstd Compression Settings
- Heuristic:Lm sys FastChat GPU Memory Allocation Strategy
- Heuristic:Facebookresearch Habitat lab Mini Batch Environment Divisibility
- Heuristic:Speechbrain Speechbrain Nonfinite Loss Handling
Environments
- Environment:Huggingface Trl Python Core Dependencies
- Environment:Intel Ipex llm NPU Environment
- Environment:BerriAI Litellm Observability Stack
- Environment:Kserve Kserve SRIOV RDMA Network
- Environment:Huggingface Optimum GPTQ Quantization Environment
- Environment:Unstructured IO Unstructured GitHub Actions
- Environment:Hiyouga LLaMA Factory Core Python GPU Environment
- Environment:NVIDIA NeMo Aligner TensorRT LLM Acceleration Environment
- Environment:Apache Kafka Release Toolchain Environment
- Environment:OpenRLHF OpenRLHF Ray Distributed Environment