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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:Openclaw Openclaw Agent Message Loop
- Workflow:Elevenlabs Elevenlabs python Text to Speech Generation
- Workflow:Mistralai Client python Chat Completion
- Workflow:Pola rs Polars Streaming Large Dataset Processing
- Workflow:Promptfoo Promptfoo Custom Provider Integration
- Workflow:Groq Groq python Audio Transcription
- Workflow:Predibase Lorax OpenAI Chat Completion
- Workflow:Dotnet Machinelearning ONNX Model Scoring
- Workflow:AUTOMATIC1111 Stable diffusion webui Textual inversion training
- Workflow:Nightwatchjs Nightwatch Component Testing
Principles
- Principle:ARISE Initiative Robosuite Joint Velocity Control
- Principle:Haotian liu LLaVA Batch VQA Inference
- Principle:FMInference FlexLLMGen Optimized Inference Engine
- Principle:Helicone Helicone Verification and Testing
- Principle:Snorkel team Snorkel Labeling Function Analysis
- Principle:Bentoml BentoML Model Versioning
- Principle:Microsoft Agent framework Agent Specialization
- Principle:Heibaiying BigData Notes Flink Streaming Environment
- Principle:Fede1024 Rust rdkafka Custom Async Runtime Integration
- Principle:Ollama Ollama KVCache Encoder Caching
Implementations
- Implementation:Microsoft Onnxruntime Module Optimizer Scheduler Init
- Implementation:Pytorch Serve TransformersSeqClassifierHandler
- Implementation:Ggml org Llama cpp Jinja Utils
- Implementation:Google deepmind Mujoco UI Main
- Implementation:BerriAI Litellm Create File
- Implementation:Microsoft LoRA Run GLUE Training
- Implementation:Allenai Open instruct Submit Eval Jobs
- Implementation:Turboderp org Exllamav2 Build Wheels Release
- Implementation:Elevenlabs Elevenlabs python UnitTestSummaryResponseModel
- Implementation:Neuml Txtai PGText Scoring
Heuristics
- Heuristic:Zai org CogVideo Decord Import Order Bug
- Heuristic:TobikoData Sqlmesh Model Change Categorization
- Heuristic:Langgenius Dify API Token Single Flight Caching
- Heuristic:Datahub project Datahub Spark Databricks Coalescing
- Heuristic:Run llama Llama index Finetuning Warmup Steps
- Heuristic:Openai CLIP L2 Normalization For Cosine Similarity
- Heuristic:Bigscience workshop Petals KV Cache Sizing For Attention Types
- Heuristic:ARISE Initiative Robomimic Data Worker Tuning By Modality
- Heuristic:Snorkel team Snorkel Minimum Three LFs
- Heuristic:Neuml Txtai Batch Size Defaults
Environments
- Environment:OpenRLHF OpenRLHF CUDA GPU Environment
- Environment:Datahub project Datahub Docker Runtime
- Environment:ClickHouse ClickHouse Python3 Test Environment
- Environment:Langgenius Dify Node Frontend Environment
- Environment:OpenRLHF OpenRLHF Flash Attention Environment
- Environment:Tensorflow Tfjs Python Converter
- Environment:Mlfoundations Open flamingo Evaluation Dependencies
- Environment:Mit han lab Llm awq VILA Multimodal Environment
- Environment:Predibase Lorax Docker Container Runtime
- Environment:Getgauge Taiko Node Runtime