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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:Romsto Speculative Decoding Ngram Assisted Speculative Decoding
- Workflow:Openai Evals Implementing a custom completion function
- Workflow:Facebookresearch Habitat lab Rearrangement HRL Training
- Workflow:Protectai Modelscan Programmatic Model Scanning
- Workflow:Tensorflow Serving Kubernetes Deployment
- Workflow:Explodinggradients Ragas Metric Prompt Optimization
- Workflow:Microsoft BIPIA White Box Defense Finetuning
- Workflow:Mlflow Mlflow Model Serving
- Workflow:Pola rs Polars SQL Query Interface
- Workflow:Deepspeedai DeepSpeed Sequence Parallel Long Context Training
Principles
- Principle:Infiniflow Ragflow Environment Configuration
- Principle:Langchain ai Langchain Release Triggering
- Principle:Deepseek ai Janus Prompt Formatting for Generation
- Principle:Online ml River Factorization Machines
- Principle:Langfuse Langfuse OTel Ingestion Post Processing
- Principle:Alibaba ROLL Vocabulary Parallel Computation
- Principle:Kubeflow Kubeflow Release Tagging
- Principle:Huggingface Datasets Streaming Shuffle
- Principle:Alibaba MNN Weight Quantization
- Principle:Togethercomputer Together python Embedding Generation
Implementations
- Implementation:DistrictDataLabs Yellowbrick StatsModelsWrapper
- Implementation:Scikit learn Scikit learn EnableIterativeImputer
- Implementation:FMInference FlexLLMGen Prompt Utils
- Implementation:Online ml River Tree LASTClassifier
- Implementation:LMCache LMCache LMCacheWorker Register
- Implementation:CARLA simulator Carla LightManager API Spec
- Implementation:Microsoft LoRA DART Test Dataset
- Implementation:Mlc ai Web llm Create MLC Engine
- Implementation:Microsoft DeepSpeedExamples Stable Diffusion LoRA Distillation
- Implementation:Langchain ai Langgraph AsyncPostgresStore
Heuristics
- Heuristic:AUTOMATIC1111 Stable diffusion webui Cross Attention Memory Slicing
- Heuristic:Volcengine Verl Layered Summon Memory Tradeoff
- Heuristic:Allenai Open instruct Warning Archived Dev Scripts
- Heuristic:Spotify Luigi Parameter Propagation Decorators
- Heuristic:Unstructured IO Unstructured Golden File Diff
- Heuristic:Microsoft Autogen Warning Deprecated JSON Env Files
- Heuristic:ContextualAI HALOs Batch Size Divisibility
- Heuristic:PacktPublishing LLM Engineers Handbook LoRA Finetuning Parameters
- Heuristic:Isaac sim IsaacGymEnvs Factory Velocity Limits
- Heuristic:Dagster io Dagster Record Over Dataclass
Environments
- Environment:Protectai Llm guard Python Runtime Dependencies
- Environment:LMCache LMCache CUDA GPU Runtime
- Environment:Infiniflow Ragflow Docker Infrastructure
- Environment:Unslothai Unsloth CUDA VLLM
- Environment:Zai org CogVideo SAT Framework Environment
- Environment:Marker Inc Korea AutoRAG VLLM Environment
- Environment:Mlc ai Web llm WebGPU Browser Runtime
- Environment:LMCache LMCache NIXL Transfer Library
- Environment:Mlc ai Web llm Chrome Extension Manifest V3
- Environment:Tensorflow Serving Python Client Environment