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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:Microsoft LoRA NLU GLUE Finetuning
- Workflow:Mlflow Mlflow GenAI Evaluation
- Workflow:Microsoft BIPIA Black Box Defense Evaluation
- Workflow:Deepset ai Haystack RAG Evaluation Pipeline
- Workflow:Hiyouga LLaMA Factory Model Export and Merging
- Workflow:Unslothai Unsloth Vision Model Finetuning
- Workflow:DataTalksClub Data engineering zoomcamp Spark Batch Processing
- Workflow:Bentoml BentoML Multi Model Composition
- Workflow:Sktime Pytorch forecasting TFT Hyperparameter Optimization
- Workflow:Hiyouga LLaMA Factory Full Parameter SFT
Principles
- Principle:Risingwavelabs Risingwave Composable Development Environment
- Principle:Online ml River Pipeline Transformers
- Principle:FlagOpen FlagEmbedding Embedding Similarity Computation
- Principle:Langgenius Dify PaymentIntegration
- Principle:Eventual Inc Daft Class UDF
- Principle:Huggingface Open r1 Supervised Fine Tuning
- Principle:Alibaba ROLL Distributed Worker Cluster Management
- Principle:Haotian liu LLaVA Multimodal Data Preparation
- Principle:Microsoft LoRA NLG Dataset Preparation
- Principle:Alibaba ROLL MCoreAdapter Distributed Training
Implementations
- Implementation:Zai org CogVideo SAT Read From CLI File
- Implementation:Getgauge Taiko ElementWrapper
- Implementation:Microsoft Agent framework WorkflowBuilder Init
- Implementation:Openai Openai python Fine Tuning Job Cancelled Webhook
- Implementation:Cypress io Cypress AddTestingTypeToCypressConfig
- Implementation:ArroyoSystems Arroyo Schema Resolver
- Implementation:Puppeteer Puppeteer Cdp Connection
- Implementation:Ray project Ray Serve RayServeReplica Interface
- Implementation:NVIDIA DALI GPU Affinity
- Implementation:Open compass VLMEvalKit TaiyiWrapper
Heuristics
- Heuristic:Onnx Onnx External Data Path Security
- Heuristic:Kserve Kserve Prefix Cache Consistency
- Heuristic:Apache Hudi Data Skipping Limitations
- Heuristic:Openai Openai node Retry Backoff Configuration
- Heuristic:Datahub project Datahub Validation Across All APIs
- Heuristic:Obss Sahi Class Agnostic vs Per Class NMS
- Heuristic:Google research Deduplicate text datasets Variable Width Pointer Optimization
- Heuristic:Norrrrrrr lyn WAInjectBench LoRA Rank Alpha Selection
- Heuristic:NVIDIA NeMo Curator Video Frame Sampling Strategy
- Heuristic:Mbzuai oryx Awesome LLM Post training API Rate Limit Retry Strategy
Environments
- Environment:Huggingface Peft Optional Quantization Backends
- Environment:Interpretml Interpret Python Core Environment
- Environment:LLMBook zh LLMBook zh github io VLLM Inference Environment
- Environment:Guardrails ai Guardrails LLM Provider API Keys
- Environment:Huggingface Optimum Python Core Dependencies
- Environment:Cleanlab Cleanlab Python Core Environment
- Environment:DataExpert io Data engineer handbook PostgreSQL Docker Environment
- Environment:Nightwatchjs Nightwatch Android Mobile Testing
- Environment:Mbzuai oryx Awesome LLM Post training Python Matplotlib
- Environment:Sail sg LongSpec Training Environment