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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:PacktPublishing LLM Engineers Handbook Model Evaluation
- Workflow:Risingwavelabs Risingwave Iceberg Lakehouse Ingestion
- Workflow:Farama Foundation Gymnasium Agent Evaluation Recording
- Workflow:Openai Evals Running an eval set
- Workflow:Kubeflow Pipelines Iterative Model Training
- Workflow:Heibaiying BigData Notes Storm Topology Development
- Workflow:Huggingface Peft Prompt Tuning Classification
- Workflow:Ggml org Ggml Model Conversion And Quantization
- Workflow:Apache Shardingsphere Metadata DDL Refresh
- Workflow:Ggml org Llama cpp LoRA Adapter Workflow
Principles
- Principle:Predibase Lorax Adapter Inventory Configuration
- Principle:CARLA simulator Carla Obstacle Detection
- Principle:Tensorflow Tfjs Pretrained Weight Loading
- Principle:Mlc ai Mlc llm OpenAI API Integration
- Principle:Neuml Txtai Index Persistence
- Principle:Langgenius Dify Application Factory
- Principle:Predibase Lorax Structured Response Parsing
- Principle:NVIDIA NeMo Aligner Pretrained Model Loading
- Principle:Apache Dolphinscheduler Workflow Triggering
- Principle:Deepspeedai DeepSpeed DeepSpeed Configuration
Implementations
- Implementation:SeleniumHQ Selenium Closure Structs Map
- Implementation:Risingwavelabs Risingwave DbzSourceHandler
- Implementation:PrefectHQ Prefect Client Read Flow Runs
- Implementation:NVIDIA NeMo Curator EmbedderBase
- Implementation:ChenghaoMou Text dedup SimHash Get Embed Func
- Implementation:Microsoft LoRA Style Doc
- Implementation:Bitsandbytes foundation Bitsandbytes Quantize 4bit
- Implementation:Apache Druid ExecutionSubmitDialog
- Implementation:Webdriverio Webdriverio BidiCore Class
- Implementation:Openai Openai node ResponsesParser
Heuristics
- Heuristic:Obss Sahi Match Threshold Tuning
- Heuristic:Kubeflow Kubeflow Stale Issue Lifecycle Management
- Heuristic:Marker Inc Korea AutoRAG GPU Memory Cleanup Pattern
- Heuristic:Microsoft DeepSpeedExamples Gradient Checkpointing Tradeoff
- Heuristic:Lakeraai Pint benchmark Chunking Stride 25 Percent Overlap
- Heuristic:BerriAI Litellm SSL Cipher Optimization
- Heuristic:Haotian liu LLaVA Use Cache Training Inference Toggle
- Heuristic:EvolvingLMMs Lab Lmms eval Limit Flag Testing Only
- Heuristic:Eric mitchell Direct preference optimization Activation Checkpointing Memory
- Heuristic:Datajuicer Data juicer Batch Size Adaptation
Environments
- Environment:Openai Whisper Numba
- Environment:Axolotl ai cloud Axolotl Multi GPU
- Environment:Ollama Ollama GPU Runtime
- Environment:LMCache LMCache VLLM Serving Engine
- Environment:Fede1024 Rust rdkafka Rust Librdkafka Build Environment
- Environment:Arize ai Phoenix Phoenix Server Runtime
- Environment:Princeton nlp SimPO VLLM Inference
- Environment:Allenai Open instruct Docker Container
- Environment:Protectai Modelscan Python Core Runtime
- Environment:Spcl Graph of thoughts OpenAI API Access