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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:OpenHands OpenHands Conversation Lifecycle Management
- Workflow:Ggml org Ggml MNIST Training And Evaluation
- Workflow:Vibrantlabsai Ragas Custom Metric Creation
- Workflow:Togethercomputer Together python Embeddings And Reranking
- Workflow:Anthropics Anthropic sdk python Cloud Provider Deployment
- Workflow:Zai org CogVideo SAT Finetuning
- Workflow:Cleanlab Cleanlab Classification Label Issue Detection
- Workflow:Dotnet Machinelearning Time Series Forecasting
- Workflow:Fastai Fastbook Collaborative Filtering
- Workflow:Huggingface Datatrove FineWeb Dataset Creation
Principles
- Principle:Microsoft Autogen Termination Conditions
- Principle:Ray project Ray Actor Class Definition
- Principle:Farama Foundation Gymnasium Video Recording
- Principle:Pytorch Serve Model Registration
- Principle:Astronomer Astronomer cosmos Airflow Provider Integration
- Principle:LMCache LMCache Prefill Decode Configuration
- Principle:Fastai Fastbook DataBlock Construction
- Principle:Pyro ppl Pyro Sequential Monte Carlo
- Principle:Interpretml Interpret Linear Model Explanation
- Principle:Speechbrain Speechbrain Tacotron2 Acoustic Model Training
Implementations
- Implementation:Fede1024 Rust rdkafka Async Worker Pool Pattern
- Implementation:Pyro ppl Pyro SineSkewed
- Implementation:Mlflow Mlflow Xtest Viz
- Implementation:Predibase Lorax Exllama V1 CUDA Bindings
- Implementation:Langchain ai Langchain PerplexityRetriever
- Implementation:Mage ai Mage ai Twitter Ads Schema
- Implementation:Gretelai Gretel synthetics DataFrameBatch Batches To Df
- Implementation:Online ml River Neighbors LazySearch
- Implementation:Eric mitchell Direct preference optimization AutoModelForCausalLM From Pretrained
- Implementation:Tensorflow Tfjs Wrapper Layers
Heuristics
- Heuristic:Tensorflow Tfjs GPU Pipeline Data Residency
- Heuristic:LLMBook zh LLMBook zh github io Greedy Decoding Temperature Zero
- Heuristic:Fede1024 Rust rdkafka Regular Polling Required
- Heuristic:Snorkel team Snorkel DataParallel Default Behavior
- Heuristic:Getgauge Taiko Element Actionability Checks
- Heuristic:Pola rs Polars Collect All For Diverging Queries
- Heuristic:Apache Airflow Database Lock Handling
- Heuristic:Apache Spark Memory Tuning Tips
- Heuristic:Treeverse LakeFS Retry Backoff Configuration
- Heuristic:Microsoft Autogen Name Uniqueness Constraints
Environments
- Environment:Huggingface Datatrove Inference GPU Environment
- Environment:Sgl project Sglang Web
- Environment:Intel Ipex llm Windows Environment
- Environment:Helicone Helicone Cloudflare Workers Runtime
- Environment:Trailofbits Fickling PyTorch
- Environment:Facebookresearch Audiocraft XFormers Memory Efficient Attention
- Environment:Googleapis Python genai Gemini API Key Authentication
- Environment:Unstructured IO Unstructured PDF Dependencies
- Environment:Arize ai Phoenix OpenTelemetry SDK
- Environment:LLMBook zh LLMBook zh github io Bitsandbytes Quantization Environment