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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:Huggingface Datatrove Summary Statistics
- Workflow:Microsoft Onnxruntime Python Inference Pipeline
- Workflow:Mbzuai oryx Awesome LLM Post training Awesome List Curation
- Workflow:Groq Groq python Chat Completion
- Workflow:Huggingface Trl GRPO Training
- Workflow:Open compass VLMEvalKit Image Benchmark Evaluation
- Workflow:Elevenlabs Elevenlabs python Realtime TTS Streaming
- Workflow:Lance format Lance Dataset Lifecycle
- Workflow:FlowiseAI Flowise Evaluation Pipeline
- Workflow:Danijar Dreamerv3 Distributed Parallel Training
Principles
- Principle:Langchain ai Langgraph Language Model Configuration
- Principle:Fastai Fastbook Collab Data Loading
- Principle:Lm sys FastChat Chat Data Cleaning
- Principle:Huggingface Diffusers ControlNet Output Refinement
- Principle:Googleapis Python genai Content Preparation
- Principle:Langgenius Dify Tool Integration
- Principle:Iterative Dvc Lockfile And Cache Update
- Principle:Apache Kafka JVM Classpath Assembly
- Principle:Ggml org Ggml Backend Initialization
- Principle:Online ml River Online Logistic Regression
Implementations
- Implementation:Bigscience workshop Petals ModuleContainer Create
- Implementation:Ggml org Ggml Sycl vecdotq
- Implementation:Huggingface Transformers Compute Basic Statistics
- Implementation:Anthropics Anthropic sdk python Stream Event Processing
- Implementation:Apache Spark Build Mvn
- Implementation:Open compass VLMEvalKit DoubaoVLWrapper
- Implementation:DistrictDataLabs Yellowbrick CVScores Visualizer
- Implementation:Fastai Fastbook Numericalize
- Implementation:Webdriverio Webdriverio XPath Converter
- Implementation:TobikoData Sqlmesh API Modules
Heuristics
- Heuristic:Openai Whisper SDPA Disabling For Attention Extraction
- Heuristic:Huggingface Datatrove Gopher Quality Thresholds
- Heuristic:MaterializeInc Materialize Dbt Transaction Disable
- Heuristic:Vibrantlabsai Ragas Temperature Sampling Strategy
- Heuristic:Huggingface Trl Gradient Checkpointing Use Reentrant
- Heuristic:BerriAI Litellm Retry Backoff Strategy
- Heuristic:Promptfoo Promptfoo Warning Deprecated Cache Migration
- Heuristic:Princeton nlp Tree of thought llm Global State Token Counting
- Heuristic:Vespa engine Vespa Document Batch Processing Strategy
- Heuristic:Sktime Pytorch forecasting Encoder Decoder Length Limits
Environments
- Environment:Danijar Dreamerv3 JAX CUDA
- Environment:Deepset ai Haystack Python Runtime Environment
- Environment:NVIDIA NeMo Aligner TensorRT LLM Acceleration Environment
- Environment:PacktPublishing LLM Engineers Handbook Docker MongoDB Qdrant Infrastructure
- Environment:Neuml Txtai Optional Extras Dependencies
- Environment:Facebookresearch Audiocraft XFormers Memory Efficient Attention
- Environment:Huggingface Datasets Lance Dependencies
- Environment:Alibaba ROLL ROCm GPU Environment
- Environment:Microsoft LoRA PyTorch CUDA Environment
- Environment:OpenBMB UltraFeedback HuggingFace Hub Environment