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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:Kornia Kornia Image Feature Matching
- Workflow:Vibrantlabsai Ragas RAG Evaluation
- Workflow:Ggml org Llama cpp OpenAI Compatible Server
- Workflow:Huggingface Open r1 SFT Distillation
- Workflow:Arize ai Phoenix Prompt Management Pipeline
- Workflow:Trailofbits Fickling Pickle Decompilation and Tracing
- Workflow:Microsoft Agent framework Multi Agent Sequential Orchestration
- Workflow:Spcl Graph of thoughts GoT Document Merging Pipeline
- Workflow:FlowiseAI Flowise Evaluation Pipeline
- Workflow:Unstructured IO Unstructured Performance Profiling
Principles
- Principle:Alibaba ROLL DPO Validation
- Principle:Infiniflow Ragflow Search LLM Settings
- Principle:Deepseek ai Janus Input Tokenization and Batching
- Principle:Fede1024 Rust rdkafka FFI Binding Layer
- Principle:Google deepmind Dm control Task Registry Discovery
- Principle:Alibaba ROLL Megatron LoRA Adaptation
- Principle:Farama Foundation Gymnasium Episode Statistics Tracking
- Principle:Mit han lab Llm awq Activation Aware Weight Quantization
- Principle:Langchain ai Langchain Tool Execution
- Principle:ChenghaoMou Text dedup MinHash Fingerprinting
Implementations
- Implementation:Neuml Txtai PgText Scoring
- Implementation:Microsoft Semantic kernel FunctionChoiceBehavior Auto
- Implementation:AnswerDotAI RAGatouille RAGPretrainedModel Rerank
- Implementation:Run llama Llama index Core Types
- Implementation:Run llama Llama index DocstoreStrategy Configuration
- Implementation:Apache Flink WritableTypeInfo
- Implementation:Treeverse LakeFS Java SDK Model RangeMetadata
- Implementation:Scikit learn Scikit learn ImageFeatureExtraction
- Implementation:Volcengine Verl SAPO Training Script
- Implementation:NVIDIA DALI Rec2idx
Heuristics
- Heuristic:Openai Evals Model Graded Eval Design
- Heuristic:Unstructured IO Unstructured Libmagic Filetype Accuracy
- Heuristic:OWASP Www project top 10 for large language model applications Deliberately Insecure Code Isolation
- Heuristic:Googleapis Python genai AFC Max Remote Calls Limit
- Heuristic:Lm sys FastChat Greedy Decoding Temperature Threshold
- Heuristic:CrewAIInc CrewAI LLM Provider Message Workarounds
- Heuristic:Openai Whisper Compression Ratio Threshold
- Heuristic:Huggingface Alignment handbook EOS Token Alignment
- Heuristic:Lucidrains X transformers Rotary Position Embedding Selection
- Heuristic:Pytorch Serve LLM Timeout Configuration
Environments
- Environment:Mlflow Mlflow OpenAI LLM Integration Environment
- Environment:Apache Dolphinscheduler Node Pnpm Runtime
- Environment:Neuml Txtai GPU Accelerator Environment
- Environment:Nautechsystems Nautilus trader Python Cython Rust Runtime
- Environment:Lance format Lance Rust Toolchain
- Environment:Intel Ipex llm Portable Environment
- Environment:Microsoft BIPIA DeepSpeed Finetuning Environment
- Environment:Spotify Luigi SQLAlchemy Database
- Environment:Vllm project Vllm Benchmarks
- Environment:Openai Openai python Python 3 9 Plus