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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:SqueezeAILab ETS Answer Evaluation Pipeline
- Workflow:Tensorflow Serving Kubernetes Deployment
- Workflow:Fede1024 Rust rdkafka At Least Once Processing
- Workflow:Speechbrain Speechbrain Speech Separation Training
- Workflow:Alibaba MNN Model Compression
- Workflow:DistrictDataLabs Yellowbrick Regression Model Evaluation
- Workflow:Risingwavelabs Risingwave Iceberg Lakehouse Ingestion
- Workflow:Cleanlab Cleanlab Multiannotator Consensus
- Workflow:Openai Openai agents python Human In The Loop Approval
- Workflow:Rapidsai Cuml Multi GPU Distributed ML
Principles
- Principle:FMInference FlexLLMGen Optimized Inference Engine
- Principle:Cohere ai Cohere python Server Sent Events Decoding
- Principle:FlagOpen FlagEmbedding Search Demo Pipeline
- Principle:Shiyu coder Kronos Prediction Result Persistence
- Principle:Huggingface Datatrove HTML Text Extraction
- Principle:Scikit learn Scikit learn Discriminant Analysis
- Principle:CARLA simulator Carla Pedestrian Navigation Mesh
- Principle:TA Lib Ta lib python Version Compatibility
- Principle:Promptfoo Promptfoo CLI Utilities
- Principle:Intel Ipex llm RAG With LlamaIndex
Implementations
- Implementation:Teamcapybara Capybara Capybara Feature DSL
- Implementation:Mlc ai Mlc llm Mistral Model
- Implementation:Openai Openai python Image Generate Params
- Implementation:Microsoft LoRA Run Distributed Eval
- Implementation:SeleniumHQ Selenium Closure Dom Classlist
- Implementation:Scikit learn Scikit learn FrozenEstimator
- Implementation:Google deepmind Dm control Mocap Prop
- Implementation:SeleniumHQ Selenium UsernameAndPassword
- Implementation:Microsoft Onnxruntime CUDA TrainingSplit
- Implementation:Apache Shardingsphere EtcdDistributedLock Lock
Heuristics
- Heuristic:Snorkel team Snorkel NLP Preprocessor Memoization
- Heuristic:Volcengine Verl GPU Memory Utilization Tuning
- Heuristic:Avhz RustQuant MC Parallel Path Threshold
- Heuristic:Huggingface Transformers Gradient Checkpointing Memory Tradeoff
- Heuristic:Wandb Weave Batch Processing Tuning
- Heuristic:Neuml Txtai Batch Size Defaults
- Heuristic:ContextualAI HALOs Online Round Budgeting
- Heuristic:Langchain ai Langgraph Deprecation Migration Guide
- Heuristic:Apache Dolphinscheduler Netty Thread Sizing
- Heuristic:Tencent Ncnn Vulkan Pipeline Warmup
Environments
- Environment:Kserve Kserve GPU Accelerator
- Environment:Astronomer Astronomer cosmos Kubernetes Provider
- Environment:Deepspeedai DeepSpeed Python Runtime Environment
- Environment:Eventual Inc Daft Python PyArrow Core
- Environment:Tensorflow Serving Docker Runtime Environment
- Environment:Unslothai Unsloth CUDA BitsAndBytes
- Environment:Neuml Txtai Python Core Environment
- Environment:Apache Flink Python PyFlink Environment
- Environment:Lakeraai Pint benchmark Python 310 With Pandas
- Environment:Heibaiying BigData Notes Java 8 Maven Environment