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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:Haotian liu LLaVA Benchmark Evaluation
- Workflow:Gretelai Gretel synthetics DGAN Timeseries Generation
- Workflow:Interpretml Interpret EBM Training And Prediction
- Workflow:Heibaiying BigData Notes Hive Data Warehouse Operations
- Workflow:Vllm project Vllm Multi LoRA Serving
- Workflow:Helicone Helicone LLM Response Normalization
- Workflow:Googleapis Python genai Multimodal Content Generation
- Workflow:Infiniflow Ragflow Docker Deployment
- Workflow:Datajuicer Data juicer Custom Operator Development
- Workflow:Langfuse Langfuse Trace ingestion pipeline
Principles
- Principle:Haotian liu LLaVA Batch VQA Inference
- Principle:Run llama Llama index Agent Output Processing
- Principle:Duckdb Duckdb Prerequisite Code Generation
- Principle:OpenGVLab InternVL Flash Attention Optimization
- Principle:Wandb Weave Object Publishing
- Principle:Dotnet Machinelearning SSA Model Fitting
- Principle:Fede1024 Rust rdkafka Client Statistics Monitoring
- Principle:Datahub project Datahub Recipe Configuration
- Principle:Dagster io Dagster Time Based Partitioning
- Principle:Mage ai Mage ai Catalog Selection
Implementations
- Implementation:LMCache LMCache Infinistore Connector
- Implementation:Apache Spark Gen Sql Api Docs
- Implementation:Getgauge Taiko Gauge Env Properties
- Implementation:Onnx Onnx Compose IO Map
- Implementation:FlagOpen FlagEmbedding LLM Embedder Eval LRLM
- Implementation:Apache Airflow DagFileProcessorManager Orchestration
- Implementation:SeleniumHQ Selenium CdpClientGenerator
- Implementation:Neuml Txtai Similarity
- Implementation:Farama Foundation Gymnasium Wrappers Init
- Implementation:Predibase Lorax Parameters Request Types
Heuristics
- Heuristic:Deepspeedai DeepSpeed Shared Memory Sizing
- Heuristic:Norrrrrrr lyn WAInjectBench NaN Inf Fallback FP32 Recovery
- Heuristic:HKUDS AI Trader Linear Retry Backoff
- Heuristic:Mage ai Mage ai HTTP Error Classification
- Heuristic:Tensorflow Tfjs WebGL Shader Warmup
- Heuristic:Bigscience workshop Petals NF4 Quantization Default On CUDA
- Heuristic:Evidentlyai Evidently Statistical Test Auto Selection
- Heuristic:Speechbrain Speechbrain Nonfinite Loss Handling
- Heuristic:Scikit learn Scikit learn Warning Deprecated PassiveAggressive
- Heuristic:OpenHands OpenHands Clustered Race Condition Prevention
Environments
- Environment:Iterative Dvc Remote Storage Backends
- Environment:Eventual Inc Daft Cloud Storage Credentials
- Environment:Anthropics Anthropic sdk python GCP Vertex Environment
- Environment:Apache Spark JDK Build Environment
- Environment:Ollama Ollama CGo Runtime
- Environment:Vibrantlabsai Ragas Python 3 9 Core Environment
- Environment:Duckdb Duckdb Code Generation Tools
- Environment:SeldonIO Seldon core Go Build Toolchain Environment
- Environment:Confident ai Deepeval Python 3 9 Runtime
- Environment:MaterializeInc Materialize Kubernetes Helm Runtime