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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:Googleapis Python genai Multi Turn Chat
- Workflow:Google deepmind Dm control Control Suite RL Training
- Workflow:InternLM Lmdeploy LLM API Server Deployment
- Workflow:Ray project Ray Build and Release Pipeline
- Workflow:ClickHouse ClickHouse Contributing Pull Request
- Workflow:ChenghaoMou Text dedup Bloom Filter Deduplication
- Workflow:NVIDIA DALI Custom Operator Development
- Workflow:Turboderp org Exllamav2 Multimodal Vision Inference
- Workflow:Langchain ai Langchain Chat Model Invocation
- Workflow:Deepspeedai DeepSpeed Pipeline Parallel Training
Principles
- Principle:Recommenders team Recommenders News Hyperparameter Configuration
- Principle:Allenai Open instruct GRPO Checkpointing
- Principle:Bitsandbytes foundation Bitsandbytes LLM Int8 Linear Layer
- Principle:Vllm project Vllm Output Schema Definition
- Principle:Apache Druid Dimension Measure Configuration
- Principle:FlagOpen FlagEmbedding Cross Encoder Reranking
- Principle:Ollama Ollama Modelfile Parsing
- Principle:Scikit learn Scikit learn Dimensionality Reduction
- Principle:Farama Foundation Gymnasium Asynchronous Vector Execution
- Principle:Huggingface Datasets Column Removal
Implementations
- Implementation:Google deepmind Mujoco Engine Forward Header
- Implementation:Isaac sim IsaacGymEnvs Factory Control Algorithms
- Implementation:Datajuicer Data juicer ArxivDownloader
- Implementation:Princeton nlp SimPO VLLM Decode
- Implementation:Spcl Graph of thoughts KeywordCountingParser
- Implementation:Huggingface Transformers Save Pretrained
- Implementation:Lm sys FastChat Make Supervised Data Module
- Implementation:Microsoft LoRA Run MLM Flax
- Implementation:Alibaba MNN Protobuf Repeated Ptr Field H
- Implementation:Microsoft Semantic kernel Concepts OpenAPI Resource
Heuristics
- Heuristic:Haotian liu LLaVA Tokenizer Version Offset Correction
- Heuristic:Predibase Lorax Flash Attention Backend Selection
- Heuristic:LMCache LMCache CacheGen Quantization Strategy
- Heuristic:OpenRLHF OpenRLHF vLLM Embedding Resize Warning
- Heuristic:Promptfoo Promptfoo Warning Deprecated Cache Migration
- Heuristic:SeldonIO Seldon core Model Scheduling Preference Tip
- Heuristic:Huggingface Peft LoRA Default Configuration
- Heuristic:HKUDS AI Trader Sortino Ratio Capping
- Heuristic:Kserve Kserve Server Side Apply For CRDs
- Heuristic:Huggingface Datasets Warning Deprecated Pandas Builder
Environments
- Environment:Kubeflow Kubeflow Git GitHub Environment
- Environment:Huggingface Datatrove IO Dependencies
- Environment:CrewAIInc CrewAI Python Runtime Environment
- Environment:Intel Ipex llm RAG LlamaIndex Environment
- Environment:OpenHands OpenHands Frontend Build Environment
- Environment:Google deepmind Dm control GLFW Desktop Rendering
- Environment:Datahub project Datahub Frontend Build
- Environment:Hiyouga LLaMA Factory Distributed Training Environment
- Environment:LLMBook zh LLMBook zh github io Bitsandbytes Quantization Environment
- Environment:Sktime Pytorch forecasting Core Python Dependencies