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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:Puppeteer Puppeteer Page Screenshot Capture
- Workflow:Intel Ipex llm LoRA Finetuning
- Workflow:Shiyu coder Kronos Single Series Prediction
- Workflow:Ggml org Llama cpp OpenAI Compatible Server
- Workflow:Microsoft Semantic kernel Plugin Integration And Function Calling
- Workflow:ClickHouse ClickHouse Packaging For Distribution
- Workflow:Google deepmind Dm control Locomotion Task Setup
- Workflow:Facebookresearch Audiocraft MusicGen Training Pipeline
- Workflow:DevExpress Testcafe Programmatic Test Execution
- Workflow:LLMBook zh LLMBook zh github io Supervised Finetuning
Principles
- Principle:Openai Whisper Alignment Head Configuration
- Principle:Iterative Dvc Artifact Resolution
- Principle:Ollama Ollama Model Quantization
- Principle:TobikoData Sqlmesh Dbt Project Assessment
- Principle:Gretelai Gretel synthetics DGAN Configuration
- Principle:AnswerDotAI RAGatouille Training Data Preparation
- Principle:ArroyoSystems Arroyo Job State Machine
- Principle:HKUDS AI Trader Parallel Agent Execution
- Principle:Volcengine Verl Package Initialization
- Principle:Langchain ai Langgraph Tool Validation
Implementations
- Implementation:Ggml org Llama cpp Common Speculative Init
- Implementation:Datajuicer Data juicer DialogSentimentIntensityMapper
- Implementation:LMCache LMCache Fast Serde
- Implementation:Recommenders team Recommenders K8s Utils
- Implementation:CARLA simulator Carla DebugHelper Class
- Implementation:EvolvingLMMs Lab Lmms eval Task Utility Interface
- Implementation:Scikit learn Scikit learn Cross Validate
- Implementation:Apache Paimon IntervalPartition
- Implementation:CARLA simulator Carla OpendriveGenerationParameters
- Implementation:Microsoft Onnxruntime CUDA FakeQuant
Heuristics
- Heuristic:Mlflow Mlflow Nested Run Organization
- Heuristic:SeleniumHQ Selenium Cross Binding Consistency Check
- Heuristic:Neuml Txtai Llama Cpp Context Fallback
- Heuristic:NVIDIA TransformerEngine Sequence Length Alignment
- Heuristic:Mlfoundations Open flamingo Hungarian MMC4 Image Text Matching
- Heuristic:Zai org CogVideo LoRA Configuration Tips
- Heuristic:FMInference FlexLLMGen Weight Compression 4bit
- Heuristic:Apache Druid Auto Granularity Selection
- Heuristic:Intel Ipex llm NF4 Quantization Best Practice
- Heuristic:Cleanlab Cleanlab Confident Threshold Heuristic
Environments
- Environment:Junyanz Pytorch CycleGAN and pix2pix DDP Multi GPU
- Environment:Huggingface Optimum Tensor Parallelization Environment
- Environment:Speechbrain Speechbrain PyTorch CUDA Runtime
- Environment:Sgl project Sglang Runtime
- Environment:FlagOpen FlagEmbedding Finetuning Environment
- Environment:Spcl Graph of thoughts OpenAI API Access
- Environment:Kubeflow Kubeflow Istio Certmanager Dex Environment
- Environment:Sdv dev SDV Python Runtime
- Environment:Puppeteer Puppeteer Node 18 Runtime
- Environment:Kubeflow Kubeflow Kubectl Kustomize CLI Environment