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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:Mage ai Mage ai SQL Database Source Extraction
- Workflow:BerriAI Litellm Response Caching
- Workflow:Langgenius Dify Visual Workflow Builder
- Workflow:Openai Whisper Language Detection And Decoding
- Workflow:PacktPublishing LLM Engineers Handbook RAG Inference
- Workflow:CarperAI Trlx PPO Sentiment Training
- Workflow:Vespa engine Vespa CI CD build pipeline
- Workflow:Huggingface Datasets Hub Publishing
- Workflow:Datajuicer Data juicer Custom Operator Development
- Workflow:TobikoData Sqlmesh Github CICD automation
Principles
- Principle:VainF Torch Pruning Taylor Importance
- Principle:Eventual Inc Daft Column Input Normalization
- Principle:ArroyoSystems Arroyo State Serialization
- Principle:Huggingface Trl Causal Model Loading
- Principle:Google deepmind Dm control Manipulation Environment Loading
- Principle:FMInference FlexLLMGen Group Quantization Configuration
- Principle:Ggml org Ggml Graph Computation Execution
- Principle:Sktime Pytorch forecasting Dependency Diagnostics
- Principle:Huggingface Diffusers Conversion Script Selection
- Principle:Triton inference server Server Server Launch
Implementations
- Implementation:Testtimescaling Testtimescaling github io HTML Table Row Append
- Implementation:MaterializeInc Materialize MaterializeConnectionManager Open
- Implementation:Kubeflow Pipelines XGBoost Cross Format Predict
- Implementation:InternLM Lmdeploy DeviceComm
- Implementation:Ggml org Llama cpp Save Load State
- Implementation:Bentoml BentoML GRPC Utils
- Implementation:Apache Druid Aggregate Macro
- Implementation:AUTOMATIC1111 Stable diffusion webui Aspect Ratio Overlay
- Implementation:Google deepmind Dm control Viewer Launch For Locomotion
- Implementation:Bigscience workshop Petals Server Run
Heuristics
- Heuristic:TobikoData Sqlmesh Snapshot TTL Defaults
- Heuristic:HKUDS AI Trader Position File Locking
- Heuristic:Pytorch Serve CPU Performance Tuning
- Heuristic:SqueezeAILab ETS Lambda Similarity Scaling
- Heuristic:Eventual Inc Daft Delta Lake S3 Locking
- Heuristic:Apache Druid Capability Detection Strategy
- Heuristic:Intel Ipex llm CCL Distributed Training Tips
- Heuristic:Openai CLIP JIT Vs Non JIT Loading
- Heuristic:Alibaba MNN Warning Deprecated Winograd Codegen
- Heuristic:Huggingface Trl Disable Dropout For RL Training
Environments
- Environment:Marker Inc Korea AutoRAG VLLM Environment
- Environment:Apache Flink Python PyFlink Environment
- Environment:Langfuse Langfuse ClickHouse Analytics
- Environment:Mbzuai oryx Awesome LLM Post training Python Pandas
- Environment:Datahub project Datahub Python Ingestion
- Environment:Getgauge Taiko Docker Container
- Environment:Intel Ipex llm vLLM XPU Serving Environment
- Environment:Explodinggradients Ragas LLM Provider Environment
- Environment:Bentoml BentoML Python Runtime
- Environment:Apache Shardingsphere Etcd Cluster Coordination