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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:CrewAIInc CrewAI Hierarchical Crew Execution
- Workflow:Webdriverio Webdriverio Cloud Service Integration
- Workflow:Apache Druid Batch Data Ingestion
- Workflow:Intel Ipex llm vLLM Serving
- Workflow:Tensorflow Serving REST API Inference
- Workflow:Apache Druid SQL Based Data Ingestion
- Workflow:NVIDIA DALI Video Processing Pipeline
- Workflow:ArroyoSystems Arroyo Connection Setup
- Workflow:Vllm project Vllm Multi LoRA Serving
- Workflow:Romsto Speculative Decoding Speculative Decoding Inference
Principles
- Principle:DataExpert io Data engineer handbook JDBC Sink Table Definition
- Principle:Pyro ppl Pyro Tensor Variable Elimination
- Principle:Microsoft BIPIA Response Generation
- Principle:Huggingface Datasets Feature Type Definition
- Principle:Predibase Lorax HTTP Client Connection
- Principle:NVIDIA NeMo Curator KMeans Clustering for Embeddings
- Principle:Guardrails ai Guardrails Validator Installation
- Principle:Duckdb Duckdb FSST String Compression
- Principle:Mit han lab Llm awq INT4 Weight Packing
- Principle:ARISE Initiative Robosuite Observable System
Implementations
- Implementation:EvolvingLMMs Lab Lmms eval Consolidate Results
- Implementation:Roboflow Rf detr RFDETR Train Config
- Implementation:Mbzuai oryx Awesome LLM Post training Fetch Paper Details
- Implementation:Evidentlyai Evidently Dataset From Pandas
- Implementation:Openai Openai node StrictJsonSchema Transform
- Implementation:CrewAIInc CrewAI CrewAI Tools Library
- Implementation:Recommenders team Recommenders NCF Predict
- Implementation:Ollama Ollama Modelfile Format Spec
- Implementation:Google deepmind Mujoco MJX Solver
- Implementation:Diagram of thought Diagram of thought Problem Tag Node Record
Heuristics
- Heuristic:InternLM Lmdeploy KV Cache Memory Tuning
- Heuristic:OpenBMB UltraFeedback Score Parsing Robustness
- Heuristic:Webdriverio Webdriverio Exponential Backoff Retry
- Heuristic:Huggingface Transformers Mixed Precision Training Selection
- Heuristic:Mlfoundations Open flamingo FSDP Manual Wrapping For Mixed Parameters
- Heuristic:Trailofbits Fickling Allowlist Maintenance
- Heuristic:ClickHouse ClickHouse Banned Functions Thread Safety
- Heuristic:DataExpert io Data engineer handbook Docker Volume Persistence Management
- Heuristic:Guardrails ai Guardrails Async Vs Sync Validation Mode
- Heuristic:Openai Whisper Compression Ratio Threshold
Environments
- Environment:Microsoft BIPIA DeepSpeed Finetuning Environment
- Environment:Datahub project Datahub Frontend Build
- Environment:Junyanz Pytorch CycleGAN and pix2pix Python PyTorch Runtime
- Environment:Fede1024 Rust rdkafka CI Test Runner
- Environment:Microsoft Semantic kernel OpenAI API Environment
- Environment:Huggingface Datasets PyTorch Integration
- Environment:Kserve Kserve VLLM Runtime
- Environment:Google deepmind Mujoco C Build Environment
- Environment:PacktPublishing LLM Engineers Handbook API Credentials
- Environment:Langgenius Dify Redis And Celery Environment