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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:LMCache LMCache KV Cache Offloading
- Workflow:Dotnet Machinelearning AutoML Experiment
- Workflow:Facebookresearch Audiocraft MusicGen Text To Music Inference
- Workflow:Deepspeedai DeepSpeed AutoTP Training
- Workflow:Unslothai Unsloth Vision Model Finetuning
- Workflow:NVIDIA DALI Object Detection Training TensorFlow
- Workflow:Openai Openai node Realtime Conversation
- Workflow:Alibaba MNN Model Conversion Pipeline
- Workflow:Datajuicer Data juicer LLM Powered Data Generation
- Workflow:DistrictDataLabs Yellowbrick Model Selection and Tuning
Principles
- Principle:Apache Flink Committable Collection Coordination
- Principle:Rapidsai Cuml Clustering Evaluation
- Principle:Neuml Txtai Workflow Execution
- Principle:Mlc ai Web llm Web Worker Engine Handler
- Principle:Kserve Kserve Multi Model Shared Service
- Principle:ARISE Initiative Robosuite Controller Abstraction
- Principle:PacktPublishing LLM Engineers Handbook Data Warehouse Query
- Principle:Langgenius Dify Database Migrations
- Principle:Tensorflow Serving TFRT Inference
- Principle:Google deepmind Dm control Task Definition
Implementations
- Implementation:Allenai Open instruct GRPO ExperimentConfig
- Implementation:Huggingface Datasets Dataset To Json
- Implementation:Google deepmind Dm control Viewer Launch For Locomotion
- Implementation:Mlc ai Mlc llm Model Preset
- Implementation:MarketSquare Robotframework browser Inv Build
- Implementation:Iterative Dvc Hydra Sweeps
- Implementation:Open compass VLMEvalKit OlmOCRBench Katex Render
- Implementation:Langgenius Dify Copy And Start
- Implementation:Deepseek ai Janus Image Post Processing AR
- Implementation:Tensorflow Serving EvHTTP Request
Heuristics
- Heuristic:Bitsandbytes foundation Bitsandbytes CuBLAS Int8 Dimension Alignment
- Heuristic:Turboderp org Exllamav2 Quantization Conversion Tips
- Heuristic:Zai org CogVideo Data Preparation Best Practices
- Heuristic:ClickHouse ClickHouse ThinLTO Build Tradeoffs
- Heuristic:Tensorflow Tfjs Backend Selection Strategy
- Heuristic:Norrrrrrr lyn WAInjectBench Union Ensemble Maximize Recall
- Heuristic:Openai Openai python Structured Output Strict Schema
- Heuristic:Apache Kafka Container JMX RMI Port Tip
- Heuristic:Ggml org Ggml Sampling Parameter Defaults
- Heuristic:Truera Trulens Trace Compression Token Limits
Environments
- Environment:Haotian liu LLaVA Python CUDA Training Environment
- Environment:Eventual Inc Daft Python PyArrow Core
- Environment:CarperAI Trlx NeMo Megatron
- Environment:Bentoml BentoML Triton Inference Server
- Environment:Huggingface Datasets Lance Dependencies
- Environment:Getgauge Taiko Linux System Libraries
- Environment:Google research Deduplicate text datasets Rust Cargo Build Environment
- Environment:Pyro ppl Pyro Funsor Backend
- Environment:OpenRLHF OpenRLHF CUDA GPU Environment
- Environment:Google deepmind Dm control OSMesa Software Rendering