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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:ARISE Initiative Robomimic Training Policy From Demonstrations
- Workflow:SeleniumHQ Selenium Browser Session Setup
- Workflow:Zai org CogVideo SAT Finetuning
- Workflow:Huggingface Optimum FX Graph Optimization
- Workflow:Axolotl ai cloud Axolotl QLoRA SFT Finetuning
- Workflow:NVIDIA NeMo Aligner Reward Model Training
- Workflow:Heibaiying BigData Notes Flink Kafka Streaming Pipeline
- Workflow:Marker Inc Korea AutoRAG Data Creation Pipeline
- Workflow:Nightwatchjs Nightwatch Custom Commands And Assertions
- Workflow:Huggingface Datasets Format Conversion
Principles
- Principle:Ggml org Llama cpp Multimodal
- Principle:Microsoft BIPIA Few Shot Example Construction
- Principle:Rapidsai Cuml Cluster Model Fitting
- Principle:ChenghaoMou Text dedup Pipeline Configuration
- Principle:Apache Druid Explore State Management
- Principle:FMInference FlexLLMGen Checkpoint Format Abstraction
- Principle:Haotian liu LLaVA LoRA Configuration
- Principle:Google deepmind Mujoco Resource Cleanup
- Principle:Huggingface Datasets Dataset Concatenation
- Principle:OpenGVLab InternVL Streamlit Chat Interface
Implementations
- Implementation:Speechbrain Speechbrain Prepare Voicebank
- Implementation:Haosulab ManiSkill DClaw
- Implementation:Deepset ai Haystack AnswerBuilder
- Implementation:Microsoft Playwright Client Electron
- Implementation:Arize ai Phoenix Experiment Task Interface
- Implementation:Ray project Ray Ray Init
- Implementation:Apache Paimon BlobDescriptor Deserialize
- Implementation:OpenRLHF OpenRLHF GEM Multiturn AgentExecutor
- Implementation:Tensorflow Serving Executor
- Implementation:Open compass VLMEvalKit MEGABench Evaluator
Heuristics
- Heuristic:VainF Torch Pruning AutoGrad Dependency Graph
- Heuristic:TobikoData Sqlmesh Execution Time Caching
- Heuristic:Neuml Txtai Thread Safety Constraints
- Heuristic:Kornia Kornia Gradient Detach Stability
- Heuristic:PrefectHQ Prefect HTTP Connection Pool Tuning
- Heuristic:Lance format Lance Fragment Sizing Strategy
- Heuristic:LLMBook zh LLMBook zh github io DPO Beta Hyperparameter
- Heuristic:Mbzuai oryx Awesome LLM Post training API Rate Limit Retry Strategy
- Heuristic:Microsoft BIPIA Torch Compile Platform Guard
- Heuristic:HKUDS AI Trader A Share Lot Size Rule
Environments
- Environment:Googleapis Python genai Python 3 10 SDK Runtime
- Environment:Anthropics Anthropic sdk python Python SDK Core Environment
- Environment:Run llama Llama index OpenAI API Configuration
- Environment:Apache Spark Kubernetes Runtime
- Environment:Lm sys FastChat API Keys And Credentials
- Environment:Mlflow Mlflow MLflow Server Environment
- Environment:Predibase Lorax Docker Container Runtime
- Environment:Microsoft Playwright Platform Support Environment
- Environment:PacktPublishing LLM Engineers Handbook AWS SageMaker GPU Environment
- Environment:Alibaba ROLL ROCm GPU Environment