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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 |
Explore Pages
Workflows
- Workflow:Ggml org Llama cpp OpenAI Compatible Server
- Workflow:Duckdb Duckdb Benchmark Execution
- Workflow:OWASP Www project top 10 for large language model applications LLM Vulnerability Assessment
- Workflow:Huggingface Alignment handbook Multi Stage Post Training
- Workflow:OpenHands OpenHands SaaS Server Assembly
- Workflow:Facebookresearch Habitat lab HITL Interactive Evaluation
- Workflow:Kserve Kserve Multi Model Serving
- Workflow:Arize ai Phoenix Trace Ingestion Pipeline
- Workflow:Deepspeedai DeepSpeed AutoTP Training
- Workflow:Farama Foundation Gymnasium Vectorized Environment Training
Principles
- Principle:Haifengl Smile DataFrame Inspection
- Principle:Datajuicer Data juicer Correlation Analysis
- Principle:VainF Torch Pruning Dependency Group Pruning
- Principle:Googleapis Python genai Batch Processing
- Principle:Scikit learn contrib Imbalanced learn Combined Over Under Sampling
- Principle:DistrictDataLabs Yellowbrick Type Introspection
- Principle:Apache Druid SQL Input Format Configuration
- Principle:FMInference FlexLLMGen Decentralized Inference Benchmarking
- Principle:Google deepmind Dm control Control Suite Environment Loading
- Principle:Microsoft BIPIA Few Shot Example Construction
Implementations
- Implementation:Cypress io Cypress Reporter Component
- Implementation:Pyro ppl Pyro Funsor HMM
- Implementation:NVIDIA NeMo Aligner KTOTrainer Fit
- Implementation:Mlc ai Mlc llm Tensor Parallel
- Implementation:Open compass VLMEvalKit MovieChat1K Utils
- Implementation:Sktime Pytorch forecasting EnEmbedding
- Implementation:Open compass VLMEvalKit NVLM
- Implementation:Datahub project Datahub Datahub Client Dependency
- Implementation:Bentoml BentoML DeploymentConfigParameters
- Implementation:Ggml org Llama cpp Llama Model Load For Chat
Heuristics
- Heuristic:Scikit learn Scikit learn Convergence Warning Handling
- Heuristic:Groq Groq python Retry Backoff Strategy
- Heuristic:Protectai Modelscan Exit Code Conventions
- Heuristic:Langgenius Dify API Token Single Flight Caching
- Heuristic:Explodinggradients Ragas Retry And Backoff Configuration
- Heuristic:Fede1024 Rust rdkafka Queue Buffering Priority
- Heuristic:TobikoData Sqlmesh Forward Only Safety
- Heuristic:Predibase Lorax CUDA Graph Batch Size Caching
- Heuristic:Infiniflow Ragflow Hybrid Search Fallback Strategy
- Heuristic:Princeton nlp Tree of thought llm Duplicate Candidate Zeroing
Environments
- Environment:Haotian liu LLaVA Python CUDA Training Environment
- Environment:Huggingface Optimum Tensor Parallelization Environment
- Environment:Microsoft LoRA NLU Conda Environment
- Environment:Wandb Weave Python SDK Runtime
- Environment:Eric mitchell Direct preference optimization PyTorch CUDA
- Environment:Neuml Txtai GPU Accelerator Environment
- Environment:Tensorflow Serving Python Client Environment
- Environment:Alibaba ROLL Megatron Training Environment
- Environment:Langgenius Dify Docker Deployment Environment
- Environment:Dotnet Machinelearning OneDal Acceleration