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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:Pyro ppl Pyro VAE Training
- Workflow:CarperAI Trlx RLHF Dialogue Alignment
- Workflow:Huggingface Datatrove Common Crawl Processing
- Workflow:Explodinggradients Ragas Test Data Generation
- Workflow:TobikoData Sqlmesh Environment management
- Workflow:Open compass VLMEvalKit API Model Evaluation
- Workflow:Run llama Llama index OpenAI LLM Finetuning
- Workflow:PeterL1n BackgroundMattingV2 Video matting inference
- Workflow:Apache Druid Batch Data Ingestion
- Workflow:Bentoml BentoML Model Store Management
Principles
- Principle:Helicone Helicone Secret Rotation
- Principle:Pyro ppl Pyro SVI Training Loop
- Principle:Langgenius Dify Dataset Creation
- Principle:AUTOMATIC1111 Stable diffusion webui Internationalization
- Principle:Pyro ppl Pyro Bayesian Optimization
- Principle:Microsoft Onnxruntime Result Processing
- Principle:AUTOMATIC1111 Stable diffusion webui Transformer Diffusion Architecture
- Principle:Scikit learn contrib Imbalanced learn Random Under Sampling Boosting
- Principle:Unslothai Unsloth Reward Function Design
- Principle:Huggingface Datasets Compressed Filesystem Access
Implementations
- Implementation:Ollama Ollama Imagegen GLM4 MoE Lite
- Implementation:Pyro ppl Pyro TraceTMC ELBO
- Implementation:Openai Openai python Response Web Search In Progress
- Implementation:Langchain ai Langgraph AsyncPostgresStore
- Implementation:Lance format Lance CommitHandler
- Implementation:Mit han lab Llm awq LlavaConfig
- Implementation:Huggingface Datatrove HuggingFaceDatasetReader
- Implementation:ThreeSR Awesome Inference Time Scaling GitHub Pull Request
- Implementation:DevExpress Testcafe NativeAutomation ResourceInjector
- Implementation:Huggingface Datasets Cache Builder
Heuristics
- Heuristic:Promptfoo Promptfoo Transient Error Classification
- Heuristic:Danijar Dreamerv3 Symlog TwoHot Prediction
- Heuristic:Mlc ai Web llm Low Resource Model Selection
- Heuristic:Treeverse LakeFS Retry Backoff Configuration
- Heuristic:Huggingface Alignment handbook DDP Bias Buffer Ignore
- Heuristic:EvolvingLMMs Lab Lmms eval Bootstrap Iteration Optimization
- Heuristic:Cohere ai Cohere python Pydantic V1 V2 Compatibility
- Heuristic:Facebookresearch Habitat lab DDPPO Straggler Preemption
- Heuristic:Dotnet Machinelearning Tokenizer Caching Strategy
- Heuristic:OWASP Www project top 10 for large language model applications Sandbox Containerization Pattern
Environments
- Environment:Duckdb Duckdb CMake Build Toolchain
- Environment:Langchain ai Langchain Unit Test Network Isolation
- Environment:Sail sg LongSpec Inference Environment
- Environment:Alibaba ROLL Diffusion Video Environment
- Environment:Helicone Helicone Node 20 TypeScript Runtime
- Environment:Cohere ai Cohere python Python SDK Runtime
- Environment:Datahub project Datahub Docker Runtime
- Environment:Openai CLIP Python Dependencies
- Environment:Mlflow Mlflow OpenAI LLM Integration Environment
- Environment:Princeton nlp SimPO CUDA Training