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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:OpenBMB UltraFeedback Completion Generation
- Workflow:Rapidsai Cuml Sklearn Zero Code Acceleration
- Workflow:ARISE Initiative Robosuite Human Demonstration Collection
- Workflow:Sgl project Sglang ModelOpt Quantization And Export
- Workflow:Axolotl ai cloud Axolotl DPO Preference Alignment
- Workflow:LMCache LMCache P2P KV Cache Sharing
- Workflow:DevExpress Testcafe CI Integration
- Workflow:Openai Evals Creating a model graded eval
- Workflow:Huggingface Optimum Model Export
- Workflow:PrefectHQ Prefect Web Scraping Pipeline
Principles
- Principle:Hiyouga LLaMA Factory Inference Engine Architecture
- Principle:DistrictDataLabs Yellowbrick Regularization Tuning
- Principle:Testtimescaling Testtimescaling github io Event Driven Step Progression
- Principle:Zai org CogVideo Parallel Video Generation
- Principle:Kserve Kserve CRD Schema Validation
- Principle:Langchain ai Langchain Streaming Method Invocation
- Principle:Apache Druid SQL Schema Configuration
- Principle:Cohere ai Cohere python Message Construction
- Principle:Truera Trulens Server Side Evaluation
- Principle:Rapidsai Cuml Ranking Evaluation
Implementations
- Implementation:LaurentMazare Tch rs RNN
- Implementation:OpenGVLab InternVL Correctness Build Data
- Implementation:ArroyoSystems Arroyo Pnpm Lockfile
- Implementation:Langgenius Dify UseExplore
- Implementation:Mlc ai Mlc llm Router Init
- Implementation:Scikit learn Scikit learn FetchRcv1
- Implementation:Datajuicer Data juicer AudioNMFSNRFilter
- Implementation:SeleniumHQ Selenium VirtualAuthenticator
- Implementation:Openai Openai agents python RunResult To State
- Implementation:Explodinggradients Ragas PydanticPrompt Class
Heuristics
- Heuristic:Dotnet Machinelearning Numerical Stability Guards
- Heuristic:Iterative Dvc YAML Dual Parser Strategy
- Heuristic:Apache Dolphinscheduler Load Balancer Strategy Selection
- Heuristic:Risingwavelabs Risingwave Docker Memory Allocation
- Heuristic:TobikoData Sqlmesh Snapshot TTL Defaults
- Heuristic:Neuml Txtai Memory Streaming Optimization
- Heuristic:Avdvg InjectGuard Sim K Threshold Tuning
- Heuristic:Run llama Llama index Batch Eval Retry Strategy
- Heuristic:Haotian liu LLaVA Use Cache Training Inference Toggle
- Heuristic:OpenGVLab InternVL Gradient Checkpointing Memory
Environments
- Environment:Bitsandbytes foundation Bitsandbytes XPU SYCL Runtime
- Environment:Datahub project Datahub Java 17 Backend Environment
- Environment:Ggml org Llama cpp CUDA GPU Environment
- Environment:Openai Openai node OpenAI API Credentials
- Environment:NVIDIA DALI TensorFlow Environment
- Environment:Anthropics Anthropic sdk python AWS Bedrock Environment
- Environment:Lm sys FastChat GPU CUDA Inference
- Environment:Langgenius Dify Redis And Celery Environment
- Environment:Facebookresearch Audiocraft XFormers Memory Efficient Attention
- Environment:Facebookresearch Habitat lab HITL Runtime Environment