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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:Protectai Llm guard LLM Input Output Scanning
- Workflow:Fastai Fastbook Collaborative Filtering
- Workflow:Romsto Speculative Decoding Ngram Assisted Speculative Decoding
- Workflow:ClickHouse ClickHouse Packaging For Distribution
- Workflow:Datajuicer Data juicer Distributed Ray Processing
- Workflow:PeterL1n BackgroundMattingV2 Video matting inference
- Workflow:ClickHouse ClickHouse Running Stateless Tests
- Workflow:NVIDIA NeMo Curator Video Curation Pipeline
- Workflow:Vibrantlabsai Ragas Custom Metric Creation
- Workflow:Microsoft Playwright API testing
Principles
- Principle:DataExpert io Data engineer handbook DataFrame Equality Assertion
- Principle:Zai org CogVideo Dataset Preparation
- Principle:Kornia Kornia ONNX Model Loading
- Principle:Google deepmind Mujoco Visualization Initialization
- Principle:Norrrrrrr lyn WAInjectBench Environment Setup
- Principle:Interpretml Interpret Morris Sensitivity Analysis
- Principle:Spotify Luigi Worker Scheduler Communication
- Principle:NVIDIA TransformerEngine KV Cache Inference
- Principle:Huggingface Transformers Adapter Loading And Switching
- Principle:Explodinggradients Ragas Prompt Persistence
Implementations
- Implementation:Openai Openai python Shared Params Responses Model
- Implementation:Speechbrain Speechbrain Prepare RescueSpeech
- Implementation:CARLA simulator Carla BufferView
- Implementation:Treeverse LakeFS Java SDK Model AuthCapabilities
- Implementation:Sktime Pytorch forecasting QuantileLoss
- Implementation:Anthropics Anthropic sdk python General Utils
- Implementation:Openai Openai agents python RunResultStreaming
- Implementation:Speechbrain Speechbrain Train CommonVoice Seq2Seq
- Implementation:Kubeflow Pipelines Dsl ExitHandler
- Implementation:ArroyoSystems Arroyo Define Schema Page
Heuristics
- Heuristic:Apache Kafka JVM GC Tuning Defaults
- Heuristic:Mlfoundations Open flamingo Deterministic Shard Shuffling
- Heuristic:EvolvingLMMs Lab Lmms eval Limit Flag Testing Only
- Heuristic:OWASP Www project top 10 for large language model applications Warning Deprecated Markdown To PDF Convert
- Heuristic:Iterative Dvc Path Performance Optimization
- Heuristic:EvolvingLMMs Lab Lmms eval Request Caching Strategy
- Heuristic:Interpretml Interpret Memory Budget Heuristic
- Heuristic:Isaac sim IsaacGymEnvs Determinism Performance Tradeoff
- Heuristic:Apache Spark Memory Tuning Tips
- Heuristic:Online ml River Hoeffding Tree Grace Period Tuning
Environments
- Environment:Nautechsystems Nautilus trader Arrow Parquet Serialization
- Environment:FlagOpen FlagEmbedding Python PyTorch Environment
- Environment:Pyro ppl Pyro Funsor Backend
- Environment:TA Lib Ta lib python TA Lib C Library
- Environment:Volcengine Verl vLLM Rollout Environment
- Environment:Sgl project Sglang Kubernetes
- Environment:Intel Ipex llm NPU Cpp Environment
- Environment:Apache Dolphinscheduler Database Backend
- Environment:AnswerDotAI RAGatouille GPU CUDA Runtime
- Environment:Farama Foundation Gymnasium Video Recording Dependencies