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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:NVIDIA DALI Custom Operator Development
- Workflow:Open compass VLMEvalKit Video Benchmark Evaluation
- Workflow:ArroyoSystems Arroyo UDF Development
- Workflow:Volcengine Verl Multi Turn Tool Use Training
- Workflow:Openclaw Openclaw Multi Agent Routing
- Workflow:Interpretml Interpret EBM Training And Prediction
- Workflow:Junyanz Pytorch CycleGAN and pix2pix CycleGAN Training
- Workflow:Run llama Llama index Embedding Finetuning
- Workflow:Openai Openai python Audio Processing
- Workflow:Haotian liu LLaVA Two Stage Pretraining and Finetuning
Principles
- Principle:ARISE Initiative Robosuite Instance Randomization Configuration
- Principle:Sktime Pytorch forecasting DeepAR Model Instantiation
- Principle:Explodinggradients Ragas Legacy Evaluation Pipeline
- Principle:Mlflow Mlflow Trace Destination Configuration
- Principle:Microsoft Semantic kernel Prompt Templating
- Principle:InternLM Lmdeploy Batch Text Generation
- Principle:Explodinggradients Ragas Knowledge Graph Enrichment
- Principle:Mlc ai Web llm Tool Call Extraction
- Principle:Trailofbits Fickling File Property Discovery
- Principle:Ray project Ray Distributed Task Submission
Implementations
- Implementation:Ollama Ollama Llama Core
- Implementation:Apache Druid Kubernetes Operator Main
- Implementation:Pytorch Serve Inferentia2 OPT Handler
- Implementation:Huggingface Transformers Custom Init Isort
- Implementation:Datajuicer Data juicer CsvFormatter
- Implementation:Tensorflow Tfjs Training Weighted Test
- Implementation:Google deepmind Dm control Scaled Actuators
- Implementation:Ollama Ollama XTools Bash
- Implementation:Eventual Inc Daft DataFrame Explain
- Implementation:Avhz RustQuant Vertex
Heuristics
- Heuristic:ChenghaoMou Text dedup Bloom Filter Single Process
- Heuristic:OpenRLHF OpenRLHF vLLM Embedding Resize Warning
- Heuristic:HKUDS AI Trader Market Type Auto Detection
- Heuristic:Ggml org Llama cpp Warning Deprecated Legacy Converters
- Heuristic:Tencent Ncnn Optimize Before Quantize
- Heuristic:Ollama Ollama Sampling Numerical Stability
- Heuristic:Eric mitchell Direct preference optimization Disable Sampling During Eval
- Heuristic:Apache Kafka Log4j Migration Compatibility
- Heuristic:Elevenlabs Elevenlabs python Client Timeout Configuration
- Heuristic:Datajuicer Data juicer Operator Fusion Rules
Environments
- Environment:Huggingface Transformers PEFT Adapter Env
- Environment:Promptfoo Promptfoo Provider API Keys
- Environment:Kubeflow Kubeflow Python KFP SDK Environment
- Environment:TA Lib Ta lib python Python Build Environment
- Environment:Huggingface Optimum Tensor Parallelization Environment
- Environment:Unstructured IO Unstructured All Docs
- Environment:Nightwatchjs Nightwatch Android Mobile Testing
- Environment:Openai Whisper Numba
- Environment:Sgl project Sglang CUDA
- Environment:Mlfoundations Open flamingo Evaluation Dependencies