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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:Explodinggradients Ragas Prompt Evaluation And Iteration
- Workflow:Elevenlabs Elevenlabs python Realtime TTS Streaming
- Workflow:Romsto Speculative Decoding Ngram Assisted Speculative Decoding
- Workflow:Lance format Lance Vector Search Pipeline
- Workflow:ARISE Initiative Robosuite Teleoperation
- Workflow:Allenai Open instruct GRPO Reinforcement Learning
- Workflow:Danijar Dreamerv3 Train And Evaluate
- Workflow:Googleapis Python genai Multi Turn Chat
- Workflow:Huggingface Diffusers ControlNet Guided Generation
- Workflow:Liu00222 Open Prompt Injection DataSentinel Detection
Principles
- Principle:Diagram of thought Diagram of thought Prompt Template Selection
- Principle:Ggml org Llama cpp ComputeGraph
- Principle:Apache Hudi Feature Exploration
- Principle:Ggml org Llama cpp Build Quantize Tool
- Principle:Sdv dev SDV HMA Synthesis
- Principle:Interpretml Interpret EBM JSON Deserialization
- Principle:Triton inference server Server QA Shell Test Infrastructure
- Principle:Langchain ai Langgraph Docker Deployment
- Principle:Pyro ppl Pyro Sequential Monte Carlo
- Principle:Apache Airflow Secret Redaction
Implementations
- Implementation:Dagster io Dagster Config Class
- Implementation:Mistralai Client python Pip Install Mistralai
- Implementation:NVIDIA TransformerEngine JAX Activation
- Implementation:Scikit learn contrib Imbalanced learn BalancedRandomForestClassifier
- Implementation:Norrrrrrr lyn WAInjectBench TPR FPR Calculation
- Implementation:Kubeflow Kubeflow GitHub PR DCO Signoff
- Implementation:FMInference FlexLLMGen OptLM Generate
- Implementation:LMCache LMCache TTL Lock Impl
- Implementation:Microsoft Autogen Studio Eval Runners
- Implementation:NVIDIA DALI NumPy Parser
Heuristics
- Heuristic:PrefectHQ Prefect HTTP Connection Pool Tuning
- Heuristic:Openai Whisper Log Probability Threshold
- Heuristic:Huggingface Transformers Label Smoothing Multi Label Warning
- Heuristic:Google deepmind Dm control MJCF Model Composition Gotchas
- Heuristic:Fede1024 Rust rdkafka Cooperative Rebalance Protocol
- Heuristic:Teamcapybara Capybara Animation Disabling For Tests
- Heuristic:Kserve Kserve Prefix Cache Consistency
- Heuristic:Huggingface Trl Disable Dropout For RL Training
- Heuristic:Heibaiying BigData Notes Maven Shade Packaging Tip
- Heuristic:Intel Ipex llm NF4 Quantization Best Practice
Environments
- Environment:SeldonIO Seldon core Docker Compose Local Environment
- Environment:Eric mitchell Direct preference optimization HuggingFace Transformers
- Environment:Google deepmind Dm control OSMesa Software Rendering
- Environment:Microsoft Autogen Python Runtime Environment
- Environment:TobikoData Sqlmesh Python Runtime
- Environment:Facebookresearch Audiocraft FAD TensorFlow Environment
- Environment:Kubeflow Pipelines KFP Backend Deployment
- Environment:DataExpert io Data engineer handbook PostgreSQL Docker Environment
- Environment:Mlc ai Web llm Node Build Toolchain
- Environment:Evidentlyai Evidently Spark Engine Environment