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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:Apache Kafka Topic Management
- Workflow:Microsoft Semantic kernel Plugin Integration And Function Calling
- Workflow:Snorkel team Snorkel Slice Aware Training
- Workflow:Triton inference server Server Model Performance Tuning
- Workflow:Kubeflow Pipelines XGBoost Training Pipeline
- Workflow:Risingwavelabs Risingwave Docker Deployment
- Workflow:Online ml River Drift Adaptive Classification
- Workflow:Huggingface Optimum Accelerated Inference Pipeline
- Workflow:CarperAI Trlx ILQL Offline Training
- Workflow:HKUDS AI Trader Multi Agent Comparison
Principles
- Principle:Openai CLIP Image Preprocessing
- Principle:Kornia Kornia Inlier Extraction
- Principle:Dotnet Machinelearning Gradient Boosted Tree Histogram
- Principle:CARLA simulator Carla Road Network Graph Construction
- Principle:FMInference FlexLLMGen Few Shot Prompt Construction
- Principle:Allenai Open instruct Tensor Caching
- Principle:NVIDIA TransformerEngine KV Cache Inference
- Principle:FlagOpen FlagEmbedding Training Data Preparation
- Principle:Mage ai Mage ai JSON Schema Loading
- Principle:Nightwatchjs Nightwatch Configuration Setup
Implementations
- Implementation:InternLM Lmdeploy Load Image
- Implementation:Run llama Llama index LLMRerank
- Implementation:Intel Ipex llm StartRecentKVCache
- Implementation:PrefectHQ Prefect Asset Constructor
- Implementation:Datahub project Datahub HasOwners Mixin
- Implementation:Apache Shardingsphere PushDownMetaDataRefreshEngine Refresh
- Implementation:Apache Hudi Build Docker Images Script
- Implementation:Ggml org Llama cpp Get Evaluation Dataset
- Implementation:Farama Foundation Gymnasium JaxToNumpy
- Implementation:Sail sg LongSpec VLLM Request Generator
Heuristics
- Heuristic:Langgenius Dify Gevent Monkey Patching Order
- Heuristic:Ggml org Llama cpp Quantization Quality Tips
- Heuristic:Liu00222 Open Prompt Injection PPL Threshold Tuning
- Heuristic:CARLA simulator Carla Behavior Agent Profiles
- Heuristic:Mlc ai Web llm Tokenizer JSON Preference
- Heuristic:Cohere ai Cohere python Embed Auto Batching Strategy
- Heuristic:Interpretml Interpret EBM Hyperparameter Tuning Guide
- Heuristic:Huggingface Trl QLoRA BF16 Adapter Casting
- Heuristic:Snorkel team Snorkel Minimum Three LFs
- Heuristic:InternLM Lmdeploy KV Cache Memory Tuning
Environments
- Environment:Mlfoundations Open flamingo PyTorch CUDA Distributed
- Environment:Langchain ai Langchain LangSmith Tracing Config
- Environment:Huggingface Alignment handbook Python Datasets
- Environment:Explodinggradients Ragas Google Drive Backend Environment
- Environment:Mlc ai Mlc llm WebGPU Browser Environment
- Environment:Protectai Modelscan TensorFlow Optional
- Environment:Hiyouga LLaMA Factory Optional Inference Backends
- Environment:Spotify Luigi Apache Spark
- Environment:Alibaba MNN GPU OpenCL Environment
- Environment:Cypress io Cypress Browser Requirements