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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:Spcl Graph of thoughts GoT Document Merging Pipeline
- Workflow:Axolotl ai cloud Axolotl DPO Preference Alignment
- Workflow:Open compass VLMEvalKit Video Benchmark Evaluation
- Workflow:ContextualAI HALOs Reward Model Training
- Workflow:Cleanlab Cleanlab Token Classification Label Quality
- Workflow:Mit han lab Llm awq AWQ Model Quantization
- Workflow:Farama Foundation Gymnasium Agent Evaluation Recording
- Workflow:Openai Openai node Streaming To Client
- Workflow:Duckdb Duckdb Benchmark Execution
- Workflow:Shiyu coder Kronos Batch Prediction
Principles
- Principle:Langchain ai Langgraph Checkpointer Initialization
- Principle:Helicone Helicone Provider Key Management
- Principle:Apache Paimon Table Configuration
- Principle:Alibaba ROLL Logits Transfer Communication
- Principle:Deepset ai Haystack Cross Encoder Reranking
- Principle:Lance format Lance Vector Index Configuration
- Principle:EvolvingLMMs Lab Lmms eval PassAtK Evaluation
- Principle:Confident ai Deepeval Package Constants Management
- Principle:Pytorch Serve IPEX Quantized Inference
- Principle:Scikit learn contrib Imbalanced learn Cluster Based Oversampling
Implementations
- Implementation:Scikit learn Scikit learn KernelDensity
- Implementation:Protectai Llm guard Input InvisibleText
- Implementation:Vllm project Vllm Test Pipeline Config
- Implementation:Run llama Llama index BaseVoiceAgentWebsocket
- Implementation:CARLA simulator Carla ObjectLabel
- Implementation:Mlfoundations Open flamingo EvalModel
- Implementation:Hpcaitech ColossalAI Train KTO Script
- Implementation:Apache Flink SplitFetcher
- Implementation:Datajuicer Data juicer RemoveTableTextMapper
- Implementation:Vibrantlabsai Ragas LiteLLM
Heuristics
- Heuristic:Huggingface Trl DeepSpeed ZeRO3 Generation Tradeoff
- Heuristic:Cleanlab Cleanlab Object Detection Scoring Constants
- Heuristic:Lakeraai Pint benchmark Use Balanced Accuracy For Imbalanced Datasets
- Heuristic:Spotify Luigi Dynamic Requirements Generator
- Heuristic:Apache Spark Hardware Provisioning Tips
- Heuristic:Openai Openai node Browser Safety Guard
- Heuristic:Puppeteer Puppeteer Navigation Race Condition Avoidance
- Heuristic:Getgauge Taiko Browser Launch Flags
- Heuristic:Dotnet Machinelearning Text File Sampling Strategy
- Heuristic:Hiyouga LLaMA Factory Quantized Training Best Practices
Environments
- Environment:Mlflow Mlflow Docker Container Environment
- Environment:Open compass VLMEvalKit GPU CUDA Environment
- Environment:Datahub project Datahub Spark Lineage Environment
- Environment:MaterializeInc Materialize Python CI Builder Runtime
- Environment:Deepspeedai DeepSpeed NVMe Environment
- Environment:Facebookresearch Audiocraft Python PyTorch CUDA Environment
- Environment:Heibaiying BigData Notes Flink 1 9 Environment
- Environment:Cleanlab Cleanlab Datalab Dependencies
- Environment:Intel Ipex llm XPU Inference Environment
- Environment:Langchain ai Langchain Python 3 10 Runtime