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Workflows
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Principles
16,832
Implementations
1,245
Heuristics
909
Environments
Welcome to Leeroopedia
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 |
Explore Pages
Workflows
- Workflow:Alibaba ROLL RLVR Training Pipeline
- Workflow:Nautechsystems Nautilus trader Data loading and cataloging
- Workflow:BerriAI Litellm Fine Tuning Job
- Workflow:Dagster io Dagster LLM Fine Tuning
- Workflow:Duckdb Duckdb Code Generation Pipeline
- Workflow:CARLA simulator Carla Autonomous Navigation
- Workflow:Arize ai Phoenix Span Annotation Pipeline
- Workflow:Deepset ai Haystack Extractive QA Pipeline
- Workflow:Eventual Inc Daft Distributed UDF Processing
- Workflow:Mlc ai Web llm Web Worker Deployment
Principles
- Principle:Pyro ppl Pyro Online Statistics
- Principle:Shiyu coder Kronos Tokenizer Finetuning
- Principle:FlowiseAI Flowise Credential Management
- Principle:Recommenders team Recommenders Spark Random Data Splitting
- Principle:NVIDIA TransformerEngine Activation Checkpointing
- Principle:Openai Evals Result Aggregation
- Principle:Tensorflow Serving HTTP Compression
- Principle:Neuml Txtai Retrieval Augmented Generation
- Principle:Lm sys FastChat Conversation Format Validation
- Principle:Datahub project Datahub Lineage Verification
Implementations
- Implementation:Fede1024 Rust rdkafka AdminClient
- Implementation:VainF Torch Pruning Serialization
- Implementation:Rapidsai Cuml PCA UMAP TSNE Configuration
- Implementation:Tensorflow Serving Tflite Session
- Implementation:Vibrantlabsai Ragas NoiseSensitivity
- Implementation:Ray project Ray Ray Task Cross Language
- Implementation:Pyro ppl Pyro Distribution Base
- Implementation:Recommenders team Recommenders NextItNet Iterator
- Implementation:Datajuicer Data juicer RemoveHeaderMapper
- Implementation:DistrictDataLabs Yellowbrick CooksDistance Visualizer
Heuristics
- Heuristic:Apache Spark K8s Container Patterns
- Heuristic:CARLA simulator Carla Walker Spawn Vertical Offset
- Heuristic:Sktime Pytorch forecasting Early Stopping Patience
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Batch Size One Default
- Heuristic:Avhz RustQuant MC Parallel Path Threshold
- Heuristic:Microsoft DeepSpeedExamples SuperOffload NUMA Binding
- Heuristic:Farama Foundation Gymnasium Shared Memory Vector Env Optimization
- Heuristic:Ggml org Ggml Sampling Parameter Defaults
- Heuristic:PacktPublishing LLM Engineers Handbook LoRA Finetuning Parameters
- Heuristic:HKUDS AI Trader Position File Locking
Environments
- Environment:SqueezeAILab ETS Evaluation Python Stack
- Environment:VainF Torch Pruning CUDA GPU Benchmarking
- Environment:SeleniumHQ Selenium Contributor Development Environment
- Environment:Allenai Open instruct Ray Distributed
- Environment:Apache Beam Dataflow Streaming Runtime
- Environment:Evidentlyai Evidently Node Frontend Environment
- Environment:Haifengl Smile Java 25 Runtime
- Environment:PacktPublishing LLM Engineers Handbook Selenium Chrome Crawler Environment
- Environment:Microsoft Onnxruntime CPU Training Environment
- Environment:Sgl project Sglang CUDA