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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:Hiyouga LLaMA Factory DPO Preference Alignment
- Workflow:ContextualAI HALOs Online Iterative Alignment
- Workflow:Evidentlyai Evidently ML Model Quality Report
- Workflow:Romsto Speculative Decoding Speculative Decoding Inference
- Workflow:Triton inference server Server Ensemble Model Pipeline
- Workflow:LMCache LMCache CacheBlend KV Reuse
- Workflow:Sdv dev SDV Sequential data synthesis
- Workflow:Triton inference server Server Model Performance Tuning
- Workflow:Apache Paimon Distributed Processing With Ray
- Workflow:Explodinggradients Ragas Metric Prompt Optimization
Principles
- Principle:NVIDIA NeMo Curator Connected Component Analysis
- Principle:Facebookresearch Habitat lab Low level Skill Training
- Principle:Testtimescaling Testtimescaling github io Taxonomy Classification
- Principle:Cypress io Cypress Monorepo Build Orchestration
- Principle:Nautechsystems Nautilus trader Supply Chain Auditing
- Principle:LaurentMazare Tch rs Batch Evaluation
- Principle:Pola rs Polars Lazy Data Scanning
- Principle:Fastai Fastbook Data Collection
- Principle:Langgenius Dify Application Bootstrap
- Principle:LMCache LMCache Prefill Decode Configuration
Implementations
- Implementation:Avhz RustQuant Exotic Option Constructors
- Implementation:Evidentlyai Evidently Legacy Exact Match Feature
- Implementation:Ucbepic Docetl UseDatasetUpload
- Implementation:Deepspeedai DeepSpeed Evoformer Tile Access Iterator Residual
- Implementation:Pyro ppl Pyro Resampler
- Implementation:BerriAI Litellm Embedding Types
- Implementation:Apache Druid Timezone Aware Tick Generation
- Implementation:Hpcaitech ColossalAI Eval BaseModel
- Implementation:Kornia Kornia Planar Tracker
- Implementation:Risingwavelabs Risingwave ElasticRestHighLevelClientAdapter
Heuristics
- Heuristic:Duckdb Duckdb Unity Build Strategy
- Heuristic:Farama Foundation Gymnasium Render Mode Selection Guide
- Heuristic:Groq Groq python Error Handling Hierarchy
- Heuristic:Ray project Ray NaN Score Filtering In PBT
- Heuristic:Google deepmind Mujoco Mesh Quality For Collision
- Heuristic:Dotnet Machinelearning Tokenizer Caching Strategy
- Heuristic:Deepspeedai DeepSpeed ZeRO Pipeline Incompatibility
- Heuristic:Facebookresearch Audiocraft Audio Normalization Strategies
- Heuristic:LMCache LMCache Health Monitor Thresholds
- Heuristic:OpenRLHF OpenRLHF Off Policy IS Correction Tip
Environments
- Environment:Intel Ipex llm CPU Finetuning Environment
- Environment:ThreeSR Awesome Inference Time Scaling Semantic Scholar API Environment
- Environment:Apache Dolphinscheduler Database Backend
- Environment:Huggingface Datasets SQL Dependencies
- Environment:LLMBook zh LLMBook zh github io VLLM Inference Environment
- Environment:Huggingface Diffusers PyTorch CUDA Runtime
- Environment:Mlc ai Web llm WebGPU Browser Runtime
- Environment:SeldonIO Seldon core Python ML Dependencies Environment
- Environment:Apache Spark JDK Build Environment
- Environment:Huggingface Transformers BitsAndBytes Quantization Env