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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:ARISE Initiative Robomimic Hyperparameter Sweep
- Workflow:Mlc ai Web llm Structured Output Generation
- Workflow:Huggingface Transformers PEFT Adapter Integration
- Workflow:Tensorflow Serving Kubernetes Deployment
- Workflow:FMInference FlexLLMGen HELM Benchmark Evaluation
- Workflow:MaterializeInc Materialize Upgrade Testing
- Workflow:Groq Groq python Streaming Chat Completion
- Workflow:Scikit learn Scikit learn Ensemble Model Building
- Workflow:Hiyouga LLaMA Factory Full Parameter SFT
- Workflow:Neuml Txtai Model Training
Principles
- Principle:Deepspeedai DeepSpeed ZeRO Parameter Partitioning
- Principle:AUTOMATIC1111 Stable diffusion webui Hypernetwork deployment
- Principle:Alibaba ROLL Advantage Estimation with KL Penalty
- Principle:Avhz RustQuant Geometric Brownian Motion
- Principle:Apache Shardingsphere Hint Based Routing
- Principle:Nightwatchjs Nightwatch Extension Path Configuration
- Principle:Kserve Kserve Controller Reconciliation
- Principle:Bentoml BentoML Model Persistence
- Principle:Neuml Txtai Zero Shot Classification
- Principle:Sdv dev SDV Cardinality Analysis
Implementations
- Implementation:Datajuicer Data juicer Pip Install Ray Extras
- Implementation:Evidentlyai Evidently Custom Descriptors
- Implementation:EvolvingLMMs Lab Lmms eval Capability Prompt Templates
- Implementation:BerriAI Litellm Email Alert Endpoints
- Implementation:Langgenius Dify CreateEmptyDataset
- Implementation:Arize ai Phoenix Annotation DataFrame Analysis
- Implementation:InternLM Lmdeploy GemmUniversalSm90V3
- Implementation:ArroyoSystems Arroyo Watermark Generator
- Implementation:NVIDIA NeMo Curator JusText Extractor
- Implementation:Eric mitchell Direct preference optimization Get Dataset
Heuristics
- Heuristic:InternLM Lmdeploy Backend Selection Strategy
- Heuristic:Obss Sahi Warning Deprecated Legacy NMS
- Heuristic:TobikoData Sqlmesh Model Change Categorization
- Heuristic:Spotify Luigi Streaming MapReduce Processing
- Heuristic:Snorkel team Snorkel LabelModel Mu Eps Clamping
- Heuristic:Openai Openai node Stream Usage Interruption
- Heuristic:Google research Deduplicate text datasets HACKSIZE Overlap Buffer
- Heuristic:Sail sg LongSpec Tree Shape Configuration
- Heuristic:Infiniflow Ragflow Agent Max Rounds Strategy
- Heuristic:Mlflow Mlflow Prompt Cache Tuning
Environments
- Environment:Evidentlyai Evidently LLM Evaluation Environment
- Environment:DataTalksClub Data engineering zoomcamp PySpark Batch Environment
- Environment:Openai Evals Optional Provider APIs
- Environment:Google research Deduplicate text datasets Rust Cargo Build Environment
- Environment:Microsoft BIPIA OpenAI API Environment
- Environment:Openai Evals OpenAI API Configuration
- Environment:Alibaba ROLL SGLang Inference Environment
- Environment:PacktPublishing LLM Engineers Handbook VLLM Evaluation Environment
- Environment:Vllm project Vllm Intel XPU
- Environment:Obss Sahi Python Pycocotools