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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:LaurentMazare Tch rs Pretrained Image Classification
- Workflow:Arize ai Phoenix Prompt Management Pipeline
- Workflow:Alibaba ROLL Agentic RL Training Pipeline
- Workflow:OWASP Www project top 10 for large language model applications Vulnerability Entry Development
- Workflow:PeterL1n BackgroundMattingV2 Realtime webcam matting
- Workflow:Recommenders team Recommenders Neural Collaborative Filtering
- Workflow:Infiniflow Ragflow Document Processing Pipeline
- Workflow:Apache Shardingsphere Dynamic Rule Configuration Change
- Workflow:CarperAI Trlx ILQL Offline Training
- Workflow:Evidentlyai Evidently Data Drift Monitoring
Principles
- Principle:Ggml org Llama cpp Unicode Text Processing
- Principle:Datajuicer Data juicer Operator Testing
- Principle:Norrrrrrr lyn WAInjectBench Per Folder Image Detection
- Principle:Microsoft LoRA LoRA Training Loop
- Principle:Huggingface Datatrove Inference Progress Monitoring
- Principle:Facebookresearch Audiocraft Training Checkpoint Management
- Principle:Turboderp org Exllamav2 Model Compilation
- Principle:Run llama Llama index Finetuned Embedding Loading
- Principle:Microsoft DeepSpeedExamples SuperOffload Environment
- Principle:ARISE Initiative Robosuite Trajectory Interpolation
Implementations
- Implementation:Avhz RustQuant ISO 4217
- Implementation:FlagOpen FlagEmbedding LLM Embedder Llama Patch
- Implementation:Haosulab ManiSkill BaseStruct
- Implementation:Sktime Pytorch forecasting All Objects
- Implementation:Infiniflow Ragflow DatasetOverviewHooks
- Implementation:Apache Druid ServicesView
- Implementation:Rapidsai Cuml MultiGPU Eigendecomposition
- Implementation:Evidentlyai Evidently Column Statistics Classes
- Implementation:Microsoft Semantic kernel ImportPluginFromOpenApiAsync
- Implementation:FlowiseAI Flowise OnConnect
Heuristics
- Heuristic:LMCache LMCache Prefix Based Retrieval Pattern
- Heuristic:ChenghaoMou Text dedup Mersenne Prime Backward Compatibility
- Heuristic:DataTalksClub Data engineering zoomcamp GCS Upload Timeout Workaround
- Heuristic:Lucidrains X transformers Gradient Clipping And Accumulation
- Heuristic:Googleapis Python genai AFC Max Remote Calls Limit
- Heuristic:Huggingface Open r1 Test Batch Early Termination
- Heuristic:Openai Openai node Warning Deprecated Beta Realtime
- Heuristic:Zai org CogVideo Scheduler and Guidance Selection
- Heuristic:Datajuicer Data juicer Batch Size Adaptation
- Heuristic:Openai Openai node Stream Usage Interruption
Environments
- Environment:Apache Spark JDK Build Environment
- Environment:Isaac sim IsaacGymEnvs Pip Dependencies
- Environment:Eventual Inc Daft AI Provider Dependencies
- Environment:Langgenius Dify Vector Database Environment
- Environment:Sgl project Sglang CUDA SM100
- Environment:AUTOMATIC1111 Stable diffusion webui Python And PyTorch Runtime
- Environment:ThreeSR Awesome Inference Time Scaling Git CLI Environment
- Environment:Evidentlyai Evidently Grafana Monitoring Environment
- Environment:Openai Openai python Realtime WebSocket
- Environment:Pola rs Polars GPU Execution Environment