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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 Robosuite Gymnasium RL Integration
- Workflow:Huggingface Optimum Model Export
- Workflow:TA Lib Ta lib python Candlestick Pattern Recognition
- Workflow:Openai Openai python Embeddings Generation
- Workflow:Dotnet Machinelearning Time Series Forecasting
- Workflow:Shiyu coder Kronos CSV Finetuning
- Workflow:LMCache LMCache Disaggregated Prefill
- Workflow:Online ml River Time Series Forecasting
- Workflow:PrefectHQ Prefect AI Data Analyst Agent
- Workflow:Tensorflow Serving Model Version Management
Principles
- Principle:Online ml River DenStream Clustering
- Principle:Bitsandbytes foundation Bitsandbytes Global INT8 Quantization
- Principle:Openai Whisper Segment Assembly
- Principle:Apache Druid Spec Review and Task Submission
- Principle:Huggingface Optimum Model Download and Configuration
- Principle:Microsoft Playwright Run Tests with Tracing
- Principle:Pytorch Serve Hardware Metrics Collection
- Principle:Googleapis Python genai Document Management
- Principle:Helicone Helicone Asynchronous Log Queuing
- Principle:Rapidsai Cuml Forest Inference
Implementations
- Implementation:Princeton nlp SimPO Reward Model Annotate Script
- Implementation:Microsoft DeepSpeedExamples BingBert PytorchModeling
- Implementation:ARISE Initiative Robomimic Config factory
- Implementation:PrefectHQ Prefect Client Pyproject Configuration
- Implementation:Online ml River Stats SEM
- Implementation:Kornia Kornia Colormap Data
- Implementation:EvolvingLMMs Lab Lmms eval Open ASR Utils
- Implementation:Ollama Ollama Imagegen LLM
- Implementation:Allenai Open instruct Build Reference Logprobs Cache
- Implementation:Bentoml BentoML CLI Entry Point
Heuristics
- Heuristic:BerriAI Litellm Retry Backoff Strategy
- Heuristic:Apache Shardingsphere Version Cleanup After Switch
- Heuristic:Ucbepic Docetl Rate Limit Exponential Backoff
- Heuristic:Avhz RustQuant MC Parallel Path Threshold
- Heuristic:Mbzuai oryx Awesome LLM Post training Reference Citation Cap 200
- Heuristic:Huggingface Trl DeepSpeed ZeRO3 Generation Tradeoff
- Heuristic:Scikit learn Scikit learn Random State Management
- Heuristic:Pola rs Polars Use Spawn Not Fork Multiprocessing
- Heuristic:Liu00222 Open Prompt Injection Cosine Similarity Segmentation Threshold
- Heuristic:Norrrrrrr lyn WAInjectBench LoRA Rank Alpha Selection
Environments
- Environment:Online ml River Python Runtime Environment
- Environment:Sktime Pytorch forecasting Matplotlib Plotting Dependencies
- Environment:Apache Hudi Java Maven Build Environment
- Environment:Farama Foundation Gymnasium Python 3 10 Runtime
- Environment:Bitsandbytes foundation Bitsandbytes XPU SYCL Runtime
- Environment:Datajuicer Data juicer Python Runtime Environment
- Environment:Sgl project Sglang Python Dependencies
- Environment:Eventual Inc Daft Python PyArrow Core
- Environment:BerriAI Litellm Observability Stack
- Environment:CARLA simulator Carla Build From Source Requirements