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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 Shardingsphere Dynamic Rule Configuration Change
- Workflow:FlagOpen FlagEmbedding Reranker Inference
- Workflow:BerriAI Litellm SDK Completion
- Workflow:Ucbepic Docetl Python API Pipeline
- Workflow:Huggingface Optimum Automatic Tensor Parallelization
- Workflow:Langchain ai Langgraph ReAct Agent Creation
- Workflow:Dotnet Machinelearning Binary Classification Pipeline
- Workflow:Unslothai Unsloth QLoRA SFT Finetuning
- Workflow:Huggingface Peft Prompt Tuning Classification
- Workflow:Hiyouga LLaMA Factory Model Export and Merging
Principles
- Principle:EvolvingLMMs Lab Lmms eval PassAtK Evaluation
- Principle:ClickHouse ClickHouse BFloat16 Type
- Principle:LaurentMazare Tch rs Sequential Model Definition
- Principle:DataTalksClub Data engineering zoomcamp Dataset Unification
- Principle:AUTOMATIC1111 Stable diffusion webui Task Progress Tracking
- Principle:Google deepmind Dm control Rendering Backend Configuration
- Principle:Roboflow Rf detr ONNX Runtime Validation
- Principle:SeleniumHQ Selenium Driver Binary Resolution
- Principle:Ggml org Llama cpp Base64 Encoding
- Principle:Facebookresearch Audiocraft Finetuning Checkpoint Preparation
Implementations
- Implementation:Tensorflow Serving SavedModelBuilder Multi Version
- Implementation:Huggingface Transformers Save Pretrained For Adapters
- Implementation:InternLM Lmdeploy Benchmark Serving
- Implementation:Openai Openai node ResponsesParser
- Implementation:Datahub project Datahub Pip Install Datahub Docker
- Implementation:Online ml River Optim Schedulers
- Implementation:Fede1024 Rust rdkafka Message Trait Methods
- Implementation:Scikit learn Scikit learn Pipeline Fit Predict
- Implementation:Microsoft Onnxruntime Summary Ops
- Implementation:DataExpert io Data engineer handbook Log processing
Heuristics
- Heuristic:OpenGVLab InternVL Loss Reduction Strategy
- Heuristic:DevExpress Testcafe Concurrency Factor Limit
- Heuristic:Mbzuai oryx Awesome LLM Post training Reference Citation Cap 200
- Heuristic:Run llama Llama index Worker Count Configuration
- Heuristic:Lance format Lance BM25 FTS Configuration
- Heuristic:Unstructured IO Unstructured Hi Res Model Configuration
- Heuristic:FlowiseAI Flowise Edge Connection Type Matching
- Heuristic:Togethercomputer Together python Repetition Penalty Conflict
- Heuristic:Recommenders team Recommenders Test Timing Budgets
- Heuristic:Neuml Txtai Model Quantization Defaults
Environments
- Environment:Huggingface Datasets Lance Dependencies
- Environment:Huggingface Open r1 Slurm Cluster
- Environment:Mage ai Mage ai Singer SDK And Joblib Runtime
- Environment:Dagster io Dagster PostgreSQL Storage
- Environment:TA Lib Ta lib python TA Lib C Library
- Environment:Microsoft Onnxruntime Sklearn Conversion Environment
- Environment:Apache Beam Java Build Environment
- Environment:PeterL1n BackgroundMattingV2 PyTorch CUDA
- Environment:Microsoft Playwright Platform Support Environment
- Environment:NVIDIA NeMo Aligner PyTriton Serving Environment