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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:Apache Flink Stream File Compaction
- Workflow:Fastai Fastbook Image Classification
- Workflow:TA Lib Ta lib python Basic Indicator Computation
- Workflow:CarperAI Trlx SFT Instruction Tuning
- Workflow:Triton inference server Server Ensemble Model Pipeline
- Workflow:Huggingface Diffusers DreamBooth Personalization
- Workflow:Duckdb Duckdb Source Amalgamation And Packaging
- Workflow:Openai Openai python Responses API Text Generation
- Workflow:Marker Inc Korea AutoRAG RAG Pipeline Optimization
- Workflow:Bentoml BentoML BentoCloud Deployment
Principles
- Principle:Microsoft Semantic kernel Python SDK Package Configuration
- Principle:Apache Kafka SVN Artifact Staging
- Principle:Romsto Speculative Decoding Rejection Sampling Adjustment
- Principle:Hpcaitech ColossalAI Evaluation Configuration
- Principle:Isaac sim IsaacGymEnvs Skeleton Visualization
- Principle:Deepspeedai DeepSpeed AutoTP Engine Init
- Principle:Alibaba MNN Diffusion Model Acquisition
- Principle:Cypress io Cypress Test Runner Launch
- Principle:Guardrails ai Guardrails Structured Output Consumption
- Principle:Apache Spark SQL Documentation Generation
Implementations
- Implementation:Cohere ai Cohere python HttpResponse
- Implementation:Apache Paimon SortMergeReader
- Implementation:Recommenders team Recommenders Conjugate Gradient MS
- Implementation:Mlc ai Mlc llm JSON FFI Engine Py
- Implementation:TobikoData Sqlmesh SQLMeshModel Extension
- Implementation:Deepspeedai DeepSpeed Py Copy
- Implementation:Ollama Ollama Convert Glm4MoeLite
- Implementation:Junyanz Pytorch CycleGAN and pix2pix Save Images
- Implementation:Datajuicer Data juicer SDXLPrompt2PromptMapper
- Implementation:Junyanz Pytorch CycleGAN and pix2pix TrainOptions Parse
Heuristics
- Heuristic:Haotian liu LLaVA Tokenizer Version Offset Correction
- Heuristic:Bitsandbytes foundation Bitsandbytes CuBLAS Int8 Dimension Alignment
- Heuristic:Tensorflow Serving GPU Memory And CPU Optimization
- Heuristic:Sgl project Sglang Attention Backend Selection
- Heuristic:Duckdb Duckdb Test Development Guidelines
- Heuristic:Scikit learn Scikit learn Data Leakage Prevention
- Heuristic:Eventual Inc Daft Delta Lake S3 Locking
- Heuristic:Shiyu coder Kronos Gradient Clipping Strategy
- Heuristic:Microsoft LoRA Scaling Factor Alpha Over R
- Heuristic:Treeverse LakeFS S3 Multipart Size Constraint
Environments
- Environment:Huggingface Datasets JAX Integration
- Environment:Wandb Weave LLM Integration Dependencies
- Environment:Recommenders team Recommenders Python Core Dependencies
- Environment:Lm sys FastChat SFT Training Environment
- Environment:HKUDS AI Trader MCP Services
- Environment:DataExpert io Data engineer handbook Python Development Environment
- Environment:Marker Inc Korea AutoRAG Python 3 10 Runtime
- Environment:Openai Openai python Python 3 9 Plus
- Environment:EvolvingLMMs Lab Lmms eval API Credentials Environment
- Environment:Onnx Onnx Cpp Build Environment