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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:Duckdb Duckdb Source Amalgamation And Packaging
- Workflow:TA Lib Ta lib python Candlestick Pattern Recognition
- Workflow:CarperAI Trlx RLHF Dialogue Alignment
- Workflow:Apache Kafka Broker Startup
- Workflow:Scikit learn Scikit learn Cross Validation Evaluation
- Workflow:Shiyu coder Kronos Single Series Prediction
- Workflow:Cleanlab Cleanlab Object Detection Label Quality
- Workflow:Ggml org Llama cpp Interactive Chat
- Workflow:Arize ai Phoenix Trace Ingestion Pipeline
- Workflow:SeldonIO Seldon core AB Testing Experiment
Principles
- Principle:ChenghaoMou Text dedup Jaccard Similarity
- Principle:Ggml org Llama cpp Prompt Tokenization
- Principle:Recommenders team Recommenders Data Loading MovieLens Pandas
- Principle:Huggingface Trl DPO Reference Model Setup
- Principle:Promptfoo Promptfoo Strategy Application
- Principle:Anthropics Anthropic sdk python Token Counting And Batching
- Principle:Openclaw Openclaw Channel Health Verification
- Principle:Cleanlab Cleanlab Segmentation Issue Visualization
- Principle:Confident ai Deepeval Conversation Simulation
- Principle:Lucidrains X transformers Encoder Decoder Configuration
Implementations
- Implementation:Alibaba MNN PyMNN Output Processing
- Implementation:Infiniflow Ragflow RenameForm Component
- Implementation:EvolvingLMMs Lab Lmms eval MMSearch Plus Decrypt Utils
- Implementation:Infiniflow Ragflow Localization System
- Implementation:FMInference FlexLLMGen DistOptLM
- Implementation:Promptfoo Promptfoo doGenerateRedteam
- Implementation:FlowiseAI Flowise EvaluatorConstant
- Implementation:Datajuicer Data juicer VideoHandReconstructionHaworMapper
- Implementation:Vibrantlabsai Ragas AnswerRelevance
- Implementation:Webdriverio Webdriverio Pnpm Lock
Heuristics
- Heuristic:Openclaw Openclaw Retry With Exponential Backoff
- Heuristic:Openai CLIP FP16 FP32 Dtype Handling
- Heuristic:Scikit learn Scikit learn Random State Management
- Heuristic:Tencent Ncnn Optimize Before Quantize
- Heuristic:Facebookresearch Habitat lab Force Single Threaded PyTorch
- Heuristic:Google deepmind Mujoco Solver Selection Guide
- Heuristic:TobikoData Sqlmesh Forward Only Safety
- Heuristic:Predibase Lorax CUDA Graph Batch Size Caching
- Heuristic:Openai CLIP Class Name Curation
- Heuristic:OpenHands OpenHands Clustered Race Condition Prevention
Environments
- Environment:Hiyouga LLaMA Factory Core Python GPU Environment
- Environment:Vllm project Vllm AWS ECR
- Environment:Pyro ppl Pyro CUDA GPU Acceleration
- Environment:Microsoft DeepSpeedExamples CIFAR10 Training Environment
- Environment:Turboderp org Exllamav2 CUDA GPU Runtime
- Environment:SeldonIO Seldon core Go Build Toolchain Environment
- Environment:FlagOpen FlagEmbedding GPU Accelerator Environment
- Environment:Mlc ai Mlc llm Metal macOS iOS Environment
- Environment:Deepseek ai Janus CUDA GPU Environment
- Environment:Huggingface Datasets TensorFlow Integration