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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:Nightwatchjs Nightwatch E2E Test Authoring
- Workflow:Astronomer Astronomer cosmos Watcher execution mode
- Workflow:Evidentlyai Evidently LLM Evaluation Monitoring
- Workflow:VainF Torch Pruning CNN Pruning
- Workflow:Speechbrain Speechbrain Speech Separation Training
- Workflow:Mage ai Mage ai SQL Database Source Extraction
- Workflow:Sail sg LongSpec Speculative Decoding Inference
- Workflow:Avhz RustQuant Monte Carlo Option Pricing
- Workflow:Apache Shardingsphere Dynamic Rule Configuration Change
- Workflow:Predibase Lorax Single LoRA Inference
Principles
- Principle:Datajuicer Data juicer Partition Size Optimization
- Principle:Gretelai Gretel synthetics Batch Data Export
- Principle:Scikit learn Scikit learn Model Training
- Principle:Astronomer Astronomer cosmos Project Path Configuration
- Principle:PacktPublishing LLM Engineers Handbook Vector Storage
- Principle:VainF Torch Pruning LLM Perplexity Evaluation
- Principle:Mit han lab Llm awq AWQ HuggingFace Export
- Principle:Norrrrrrr lyn WAInjectBench LoRA Adapter Injection
- Principle:AUTOMATIC1111 Stable diffusion webui Startup Performance Profiling
- Principle:Openclaw Openclaw Binding Configuration
Implementations
- Implementation:Apache Kafka Git Branch And Tag Management
- Implementation:Vllm project Vllm LLM Init
- Implementation:Turboderp org Exllamav2 Tokenizer Encode Multimodal
- Implementation:Puppeteer Puppeteer PSelectorParser
- Implementation:Evidentlyai Evidently Legacy Metric Preset Base
- Implementation:Evidentlyai Evidently Legacy HTML Widgets
- Implementation:Langgenius Dify Log Models
- Implementation:Run llama Llama index RichPromptTemplate
- Implementation:Microsoft Autogen Component Schema Gen
- Implementation:Openai Openai node Audio Helpers
Heuristics
- Heuristic:Marker Inc Korea AutoRAG Hybrid Retrieval Score Normalization
- Heuristic:Lucidrains X transformers Gradient Clipping And Accumulation
- Heuristic:Mbzuai oryx Awesome LLM Post training Depth Limit Recursion At 2
- Heuristic:LLMBook zh LLMBook zh github io Deduplication Ngram Threshold
- Heuristic:LMCache LMCache Health Monitor Thresholds
- Heuristic:Explodinggradients Ragas Concurrency And Rate Limiting
- Heuristic:Treeverse LakeFS Warning Deprecated InternalApi Methods
- Heuristic:Dagster io Dagster Retry Strategy Configuration
- Heuristic:OpenBMB UltraFeedback Principle Distribution Tuning
- Heuristic:Nightwatchjs Nightwatch Safari Parallel Limitation
Environments
- Environment:ArroyoSystems Arroyo Kubernetes Deployment
- Environment:FlagOpen FlagEmbedding Python PyTorch Environment
- Environment:Huggingface Optimum GPTQ Quantization Environment
- Environment:NVIDIA TransformerEngine Python PyTorch Requirements
- Environment:Spotify Luigi SQLAlchemy Database
- Environment:Google deepmind Mujoco MJX Warp CUDA Environment
- Environment:Neuml Txtai Python Core Dependencies
- Environment:Mit han lab Llm awq Python Runtime Environment
- Environment:ARISE Initiative Robosuite GPU Rendering
- Environment:Microsoft DeepSpeedExamples CIFAR10 Training Environment