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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:Openai Openai agents python Basic Agent Execution
- Workflow:Heibaiying BigData Notes Flink Kafka Streaming Pipeline
- Workflow:Mage ai Mage ai Building a New Source Connector
- Workflow:Mlfoundations Open flamingo Few Shot Evaluation
- Workflow:Farama Foundation Gymnasium Custom Environment Creation
- Workflow:Getgauge Taiko Form Interaction Testing
- Workflow:Sail sg LongSpec GLIDE Draft Model Training
- Workflow:Sgl project Sglang Multimodal Vision Language Inference
- Workflow:Online ml River Online Clustering
- Workflow:Wandb Weave Evaluation Pipeline
Principles
- Principle:Huggingface Transformers CI Configuration Generation
- Principle:Huggingface Datasets Dataset From Dict Construction
- Principle:Heibaiying BigData Notes HBase Data Deletion
- Principle:Ollama Ollama Inference Dispatch
- Principle:Apache Flink Object Reuse
- Principle:OpenRLHF OpenRLHF Dataset Blending
- Principle:Zai org CogVideo SAT Inference Configuration
- Principle:Langchain ai Langchain Input Preparation For Streaming
- Principle:Bigscience workshop Petals Autoregressive Generation
- Principle:Openai Evals Human In The Loop Evaluation
Implementations
- Implementation:Risingwavelabs Risingwave DbzSourceUtils
- Implementation:NVIDIA TransformerEngine LayerNorm API
- Implementation:Tensorflow Tfjs Model Hosting Pattern
- Implementation:Langgenius Dify URL Validation
- Implementation:Scikit learn Scikit learn PartialDependence
- Implementation:Online ml River Forest ARFClassifier
- Implementation:Apache Beam PortableRunner Run
- Implementation:Duckdb Duckdb Test Compile Py
- Implementation:NVIDIA TransformerEngine JAX Quantize Helper
- Implementation:Vespa engine Vespa LogSetup InitVespaLogging
Heuristics
- Heuristic:Scikit learn Scikit learn Data Leakage Prevention
- Heuristic:CarperAI Trlx Delta Rewards
- Heuristic:Protectai Modelscan Nested Zip Not Supported
- Heuristic:Bentoml BentoML Worker Count Strategy
- Heuristic:Huggingface Datatrove VLLM Startup Optimization
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Batch Size One Default
- Heuristic:Lance format Lance BM25 FTS Configuration
- Heuristic:Avdvg InjectGuard Sim K Threshold Tuning
- Heuristic:Lucidrains X transformers Rotary Position Embedding Selection
- Heuristic:Run llama Llama index Chunk Size Optimization
Environments
- Environment:Nightwatchjs Nightwatch Selenium WebDriver 4
- Environment:Huggingface Alignment handbook PyTorch CUDA
- Environment:Obss Sahi Python Image Processing
- Environment:Vibrantlabsai Ragas LLM Provider Credentials
- Environment:Vespa engine Vespa Cosign Sigstore Signing
- Environment:Microsoft Semantic kernel DotNet SDK Environment
- Environment:Open compass VLMEvalKit Python Runtime Environment
- Environment:Fede1024 Rust rdkafka Rust Librdkafka Build Environment
- Environment:Huggingface Open r1 Slurm Cluster
- Environment:Scikit learn contrib Imbalanced learn Keras TensorFlow