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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:Mlfoundations Open flamingo Few Shot Evaluation
- Workflow:Open compass VLMEvalKit Adding Custom Benchmark
- Workflow:LMCache LMCache Disaggregated Prefill
- Workflow:Princeton nlp Tree of thought llm ToT BFS experiment
- Workflow:Haosulab ManiSkill Motion Planning Demo Generation
- Workflow:Huggingface Peft Prompt Tuning Classification
- Workflow:Heibaiying BigData Notes Hadoop MapReduce Word Count
- Workflow:Langgenius Dify RAG Pipeline Development
- Workflow:Deepset ai Haystack RAG Evaluation Pipeline
- Workflow:Bentoml BentoML BentoCloud Deployment
Principles
- Principle:LaurentMazare Tch rs VarStore Initialization
- Principle:Confident ai Deepeval Dataset Publishing
- Principle:Cleanlab Cleanlab Span Classification Issue Detection
- Principle:Speechbrain Speechbrain Speech Translation Training
- Principle:ContextualAI HALOs Metrics Summarization
- Principle:TobikoData Sqlmesh Dbt Validation And Testing
- Principle:Recommenders team Recommenders Negative Sampling For Implicit Feedback
- Principle:Ggml org Llama cpp Input Text Preparation
- Principle:FlowiseAI Flowise Document Store Creation
- Principle:Webdriverio Webdriverio Source Analysis
Implementations
- Implementation:EvolvingLMMs Lab Lmms eval GroundingMe YAML Config
- Implementation:Apache Airflow DualStatsManager
- Implementation:FlagOpen FlagEmbedding AbsEvalRunner Get Models
- Implementation:NVIDIA NeMo Aligner Generate SL CAI Dataset
- Implementation:Ggml org Llama cpp Mmap
- Implementation:DataTalksClub Data engineering zoomcamp Spark Read Parquet
- Implementation:Microsoft Autogen Studio MCP Callbacks
- Implementation:Vllm project Vllm Spec Decode Method Config
- Implementation:Lance format Lance Java DatasetDelta
- Implementation:Vllm project Vllm CPU Attn NEON BFMMLA
Heuristics
- Heuristic:Protectai Llm guard ONNX Runtime Optimization
- Heuristic:Avdvg InjectGuard Dataset Coverage Recall Bound
- Heuristic:Apache Druid Explore Compare Query Strategy
- Heuristic:Gretelai Gretel synthetics Binary Encoder Cutoff
- Heuristic:CARLA simulator Carla PID Controller Tuning
- Heuristic:Openai CLIP CLIP Normalization Constants
- Heuristic:Neuml Txtai Batch Size And Sorting Tip
- Heuristic:Microsoft Onnxruntime Graph Optimization Level Selection
- Heuristic:CARLA simulator Carla Client Server Version Match
- Heuristic:Huggingface Transformers Gradient Checkpointing Memory Tradeoff
Environments
- Environment:LMCache LMCache Python Runtime
- Environment:Sgl project Sglang Distributed
- Environment:Junyanz Pytorch CycleGAN and pix2pix Python PyTorch Runtime
- Environment:Sgl project Sglang Python Dependencies
- Environment:Apache Shardingsphere Etcd Cluster Coordination
- Environment:Treeverse LakeFS Web UI Environment
- Environment:Intel Ipex llm XPU Finetuning Environment
- Environment:Axolotl ai cloud Axolotl Python Runtime
- Environment:Infiniflow Ragflow Python Runtime
- Environment:Iamhankai Forest of Thought Python CUDA Runtime