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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:Confident ai Deepeval Synthetic Dataset Generation
- Workflow:Iamhankai Forest of Thought CGDM Post Processing
- Workflow:Pola rs Polars Streaming Large Dataset Processing
- Workflow:SeldonIO Seldon core Model Explainability
- Workflow:Alibaba ROLL DPO Training Pipeline
- Workflow:Deepset ai Haystack RAG Pipeline
- Workflow:Kserve Kserve InferenceGraph Pipeline
- Workflow:VainF Torch Pruning Sparse Training Pruning
- Workflow:Openai Evals Running a single eval
- Workflow:Astronomer Astronomer cosmos Kubernetes dbt execution
Principles
- Principle:BerriAI Litellm Model Selection
- Principle:Axolotl ai cloud Axolotl Serverless Deployment Configuration
- Principle:LMCache LMCache CacheBlend Configuration
- Principle:DataTalksClub Data engineering zoomcamp Dbt Testing And Documentation
- Principle:Triton inference server Server Automated Profiling
- Principle:Microsoft BIPIA Few Shot Example Construction
- Principle:Openai Openai node Job Progress Monitoring
- Principle:Allenai Open instruct GRPO Loss
- Principle:FMInference FlexLLMGen AIO Performance Benchmarking
- Principle:Confident ai Deepeval LLM Evaluation Metrics
Implementations
- Implementation:Explodinggradients Ragas Text2SQL Data Utils
- Implementation:Tensorflow Tfjs Initializers Test
- Implementation:Langgenius Dify Typography
- Implementation:Microsoft BIPIA VicunaWithSpecialToken
- Implementation:Vibrantlabsai Ragas DataCompyScore
- Implementation:ClickHouse ClickHouse Praktika CI Framework
- Implementation:Kornia Kornia AugmentationSequential
- Implementation:Pyro ppl Pyro Gaussian
- Implementation:Deepspeedai DeepSpeed Evoformer Tile Iterator Atomic
- Implementation:Confident ai Deepeval ContextGenerator
Heuristics
- Heuristic:Getgauge Taiko Navigation Wait Strategy
- Heuristic:Tensorflow Tfjs GPU Pipeline Data Residency
- Heuristic:Kubeflow Pipelines Component URL Commit SHA Pinning
- Heuristic:Ucbepic Docetl Rate Limit Exponential Backoff
- Heuristic:Openai Openai node Stream Usage Interruption
- Heuristic:Spotify Luigi Batch Parameter Aggregation
- Heuristic:Huggingface Trl Disable Dropout For RL Training
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Strategy Selection
- Heuristic:Protectai Modelscan Exit Code Conventions
- Heuristic:Dotnet Machinelearning Sparsity Threshold Optimization
Environments
- Environment:Huggingface Alignment handbook Evaluation Tools
- Environment:Sgl project Sglang CUDA Runtime
- Environment:Vibrantlabsai Ragas Optional NLP Metrics Environment
- Environment:LLMBook zh LLMBook zh github io HuggingFace Transformers Stack
- Environment:OpenRLHF OpenRLHF vLLM Environment
- Environment:Apache Dolphinscheduler Database Backend
- Environment:EvolvingLMMs Lab Lmms eval Server Mode Environment
- Environment:Predibase Lorax CUDA GPU Runtime
- Environment:Snorkel team Snorkel PyTorch
- Environment:Huggingface Datasets JAX Integration