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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:DataExpert io Data engineer handbook Dimensional Data Modeling Environment Setup
- Workflow:Isaac sim IsaacGymEnvs Factory Assembly Training
- Workflow:LMCache LMCache KV Cache Offloading
- Workflow:Testtimescaling Testtimescaling github io Automated Citation Tracking
- Workflow:Groq Groq python Streaming Chat Completion
- Workflow:Apache Beam Local Pipeline Execution
- Workflow:Bentoml BentoML Model Store Management
- Workflow:Hpcaitech ColossalAI DPO Alignment
- Workflow:SeleniumHQ Selenium Browser Session Setup
- Workflow:Helicone Helicone Local Development Setup
Principles
- Principle:Huggingface Transformers Quantization Configuration
- Principle:Langgenius Dify Plugin Discovery
- Principle:Kserve Kserve Authentication Integration
- Principle:Scikit learn contrib Imbalanced learn Balanced Random Forest
- Principle:SeldonIO Seldon core Model Explainability Integration
- Principle:Fede1024 Rust rdkafka Topic Subscription And Consumption
- Principle:Bigscience workshop Petals Block Selection
- Principle:SqueezeAILab ETS Hyperparameter Configuration
- Principle:Neuml Txtai Agent Orchestration
- Principle:NVIDIA NeMo Curator Video Ingestion
Implementations
- Implementation:Mlc ai Mlc llm InternLM2 Model
- Implementation:ArroyoSystems Arroyo Api Types Generated
- Implementation:Puppeteer Puppeteer Debug
- Implementation:Huggingface Diffusers Quantized Pipeline Call
- Implementation:Microsoft Onnxruntime InferenceSession Run For Prediction
- Implementation:LMCache LMCache Protocol
- Implementation:Huggingface Datatrove HuggingFaceDatasetReader
- Implementation:CARLA simulator Carla InformationSet
- Implementation:Alibaba MNN Diffusion Demo CLI
- Implementation:Apache Paimon JsonUtil
Heuristics
- Heuristic:Pola rs Polars Avoid Lambda In Aggregation
- Heuristic:Lakeraai Pint benchmark Use Balanced Accuracy For Imbalanced Datasets
- Heuristic:TobikoData Sqlmesh Execution Time Caching
- Heuristic:ARISE Initiative Robomimic Rollout Horizon Selection
- Heuristic:Cohere ai Cohere python ToolCallV2 Auto UUID Override
- Heuristic:Liu00222 Open Prompt Injection PPL Threshold Tuning
- Heuristic:FlagOpen FlagEmbedding Dynamic Batch Size Reduction
- Heuristic:Explodinggradients Ragas Embedding Batch Size Tuning
- Heuristic:ARISE Initiative Robomimic Data Worker Tuning By Modality
- Heuristic:Rapidsai Cuml Float64 Kernel Stability
Environments
- Environment:Langchain ai Langchain LangSmith Tracing Config
- Environment:Sgl project Sglang Prometheus
- Environment:Huggingface Alignment handbook Python PEFT
- Environment:Obss Sahi Python Detection Frameworks
- Environment:LaurentMazare Tch rs Libtorch Build Environment
- Environment:Alibaba ROLL Megatron Training Environment
- Environment:Volcengine Verl Ray Distributed Environment
- Environment:LLMBook zh LLMBook zh github io HuggingFace Transformers Stack
- Environment:DevExpress Testcafe Node Runtime
- Environment:Zai org CogVideo Diffusers Finetuning Environment