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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:Hpcaitech ColossalAI Model Evaluation
- Workflow:Interpretml Interpret EBM Model Merging
- Workflow:CarperAI Trlx PPO Sentiment Training
- Workflow:Mit han lab Llm awq HuggingFace Model Export
- Workflow:Axolotl ai cloud Axolotl QLoRA SFT Finetuning
- Workflow:Vllm project Vllm Structured Output Generation
- Workflow:Togethercomputer Together python Chat Completion
- Workflow:Eventual Inc Daft Distributed UDF Processing
- Workflow:Confident ai Deepeval LLM Tracing and Observability
- Workflow:Lakeraai Pint benchmark Custom System Evaluation
Principles
- Principle:Tensorflow Serving Multi Inference
- Principle:Apache Paimon Split Based Reading
- Principle:Scikit learn Scikit learn Feature Transformation
- Principle:Alibaba ROLL Agentic Advantage Estimation
- Principle:Protectai Llm guard Sentiment Analysis
- Principle:Norrrrrrr lyn WAInjectBench Per File Text Detection
- Principle:Mlc ai Web llm Tool Call Extraction
- Principle:Turboderp org Exllamav2 Model Compilation
- Principle:Mlfoundations Open flamingo Dual Dataset Training Loop
- Principle:ClickHouse ClickHouse Optimized Memcpy
Implementations
- Implementation:NVIDIA DALI C API V2 Init
- Implementation:InternLM Lmdeploy Impl 81616
- Implementation:Open compass VLMEvalKit VideoMME
- Implementation:Infiniflow Ragflow FeedbackDialog Component
- Implementation:Confident ai Deepeval TaskCompletionMetric
- Implementation:CrewAIInc CrewAI Exa Search Tool
- Implementation:Eventual Inc Daft PyO3 Root Module
- Implementation:Tensorflow Tfjs LayersModel Compile
- Implementation:Bitsandbytes foundation Bitsandbytes GlobalOptimManager
- Implementation:Microsoft Playwright BidiCommands Types
Heuristics
- Heuristic:Openai Openai node Warning Deprecated Assistants API
- Heuristic:Avhz RustQuant Discretization Scheme Selection
- Heuristic:Princeton nlp Tree of thought llm Value Caching
- Heuristic:Openclaw Openclaw WebSocket Reconnection And Session Cleanup
- Heuristic:Sail sg LongSpec TF32 And FP16 Training
- Heuristic:Helicone Helicone Provider URL Regex Priority
- Heuristic:Mlc ai Mlc llm Metal KV Cache Capacity Limit
- Heuristic:Openai Whisper Compression Ratio Threshold
- Heuristic:Mage ai Mage ai Sorted Data Bookmark Strategy
- Heuristic:Sktime Pytorch forecasting Learning Rate Scheduling
Environments
- Environment:Datahub project Datahub Java 17 Backend Environment
- Environment:ArroyoSystems Arroyo PostgreSQL Database
- Environment:Mbzuai oryx Awesome LLM Post training Python Matplotlib
- Environment:Truera Trulens Streamlit Dashboard Environment
- Environment:Elevenlabs Elevenlabs python FFmpeg Mpv
- Environment:Deepset ai Haystack GPU Device Environment
- Environment:Microsoft Autogen Python Runtime Environment
- Environment:Togethercomputer Together python Fine Tuning Data Requirements
- Environment:Intel Ipex llm XPU Inference Environment
- Environment:Huggingface Peft Optional Quantization Backends