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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:Kubeflow Kubeflow AI Lifecycle Pipeline
- Workflow:Recommenders team Recommenders SAR Collaborative Filtering
- Workflow:Astronomer Astronomer cosmos Dbt docs generation
- Workflow:Romsto Speculative Decoding Ngram Assisted Speculative Decoding
- Workflow:OpenGVLab InternVL Preference Optimization
- Workflow:Norrrrrrr lyn WAInjectBench Text Prompt Injection Detection
- Workflow:Langchain ai Langchain Vector Store Operations
- Workflow:PrefectHQ Prefect Asset Based Data Pipeline
- Workflow:Microsoft DeepSpeedExamples VisualChat Multimodal Training
- Workflow:Fastai Fastbook Image Classification
Principles
- Principle:Haosulab ManiSkill Lazy Controller Instantiation
- Principle:Sktime Pytorch forecasting Time Series Data Loading
- Principle:Apache Beam Twister2 Execution and Result Collection
- Principle:Cleanlab Cleanlab Label Issue Filtering
- Principle:Nightwatchjs Nightwatch Project Initialization
- Principle:Romsto Speculative Decoding Speculative Decoding
- Principle:Openai Openai python Image Generation
- Principle:Apache Dolphinscheduler SPI Plugin Registration
- Principle:Vllm project Vllm Batch Text Generation
- Principle:Treeverse LakeFS Hook Result Review
Implementations
- Implementation:Mlc ai Mlc llm Popen Server
- Implementation:Hiyouga LLaMA Factory Kernel Interface
- Implementation:Fastai Fastbook Backpropagation Manual
- Implementation:Speechbrain Speechbrain LibriSpeech LM Dataset
- Implementation:Togethercomputer Together python Image Prompt Format
- Implementation:Scikit learn contrib Imbalanced learn geometric mean score
- Implementation:OpenHands OpenHands EncryptUtils
- Implementation:Huggingface Peft IA3Model
- Implementation:Langchain ai Langgraph EncryptedSerializer
- Implementation:CARLA simulator Carla ConcurrentQueue
Heuristics
- Heuristic:Fastai Fastbook Embedding Size Rule
- Heuristic:Helicone Helicone Anthropic Cache Double Count Prevention
- Heuristic:AnswerDotAI RAGatouille In Memory Reranking Limits
- Heuristic:Bigscience workshop Petals KV Cache Sizing For Attention Types
- Heuristic:Openai Whisper Temperature Fallback Strategy
- Heuristic:Microsoft DeepSpeedExamples Gradient Checkpointing Tradeoff
- Heuristic:Datajuicer Data juicer Operator Fusion Rules
- Heuristic:ChenghaoMou Text dedup Bloom Filter Single Process
- Heuristic:Tencent Ncnn Vulkan Pipeline Warmup
- Heuristic:AUTOMATIC1111 Stable diffusion webui UNet Performance Patches
Environments
- Environment:Online ml River Build Toolchain
- Environment:Sdv dev SDV GPU CUDA Support
- Environment:Openai Evals OpenAI API Configuration
- Environment:Sgl project Sglang Prometheus
- Environment:Iterative Dvc DVC Environment Variables
- Environment:CrewAIInc CrewAI LLM Provider Credentials
- Environment:Apache Dolphinscheduler Netty Runtime
- Environment:SqueezeAILab ETS Multi GPU Sglang Runtime
- Environment:PacktPublishing LLM Engineers Handbook Unsloth Finetuning Environment
- Environment:Vespa engine Vespa CMake Cpp23 Build Environment