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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:Protectai Llm guard API Server Deployment
- Workflow:Huggingface Datatrove Minhash Deduplication
- Workflow:Deepset ai Haystack Document Indexing Pipeline
- Workflow:Openai Openai agents python Basic Agent Execution
- Workflow:Huggingface Open r1 Reasoning Data Generation
- Workflow:OWASP Www project top 10 for large language model applications Agentic Security Assessment
- Workflow:Online ml River Binary Classification Pipeline
- Workflow:Neuml Txtai Workflow Orchestration
- Workflow:Guardrails ai Guardrails Streaming Validation
- Workflow:Langchain ai Langgraph Human in the Loop Agent
Principles
- Principle:Eric mitchell Direct preference optimization Model Loading
- Principle:Iterative Dvc Dependency Graph Construction
- Principle:Huggingface Datasets Dataset Testing
- Principle:Iterative Dvc Data Transfer Execution
- Principle:Eventual Inc Daft Row Wise UDF
- Principle:Huggingface Optimum Parameter Metadata Initialization
- Principle:Apache Kafka Topic CLI Bootstrap
- Principle:Teamcapybara Capybara Feature Spec DSL
- Principle:PacktPublishing LLM Engineers Handbook LLM Dataset Generation
- Principle:Mit han lab Llm awq NVILA Multimodal Architecture
Implementations
- Implementation:Apache Druid RunPanel
- Implementation:Microsoft DeepSpeedExamples BingBert GlueClassifierLarge
- Implementation:Openai Openai python Response Input Audio Param
- Implementation:Apache Druid DruidSqlAceMode
- Implementation:Mlc ai Mlc llm Attach Logit Processor Pass
- Implementation:Ggml org Ggml Hexagon htp main
- Implementation:Google deepmind Mujoco MJWarp Collision Convex
- Implementation:Triton inference server Server L0 Model Config Test
- Implementation:Datahub project Datahub MetadataChangeProposalWrapper Java
- Implementation:Tensorflow Serving Tfrt Classifier
Heuristics
- Heuristic:Interpretml Interpret Memory Budget Heuristic
- Heuristic:Mbzuai oryx Awesome LLM Post training Depth Limit Recursion At 2
- Heuristic:Interpretml Interpret Categorical Float Conversion Gotcha
- Heuristic:Openai CLIP L2 Normalization For Cosine Similarity
- Heuristic:Mistralai Client python Resource Context Manager
- Heuristic:Fastai Fastbook Embedding Size Rule
- Heuristic:Eric mitchell Direct preference optimization Activation Checkpointing Memory
- Heuristic:Spotify Luigi Parameter Propagation Decorators
- Heuristic:Sail sg LongSpec TF32 And FP16 Training
- Heuristic:Bentoml BentoML Worker Count Strategy
Environments
- Environment:Sail sg LongSpec Training Environment
- Environment:Huggingface Peft Python Core Dependencies
- Environment:Iterative Dvc Python Runtime
- Environment:NVIDIA NeMo Curator Video Codec Stack
- Environment:LLMBook zh LLMBook zh github io VLLM Inference Environment
- Environment:Mlflow Mlflow Python Runtime Environment
- Environment:Facebookresearch Audiocraft AudioCraft Environment Variables
- Environment:NVIDIA DALI TensorFlow Environment
- Environment:Junyanz Pytorch CycleGAN and pix2pix DDP Multi GPU
- Environment:Apache Beam Dataflow Streaming Runtime