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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:Apache Dolphinscheduler Datasource Plugin Development
- Workflow:ARISE Initiative Robosuite Domain Randomization Training
- Workflow:Microsoft Autogen Graph Based Agent Orchestration
- Workflow:Ggml org Llama cpp Model Quantization
- Workflow:Vespa engine Vespa CI CD build pipeline
- Workflow:Norrrrrrr lyn WAInjectBench Embedding Classifier Training
- Workflow:OpenGVLab InternVL Supervised Finetuning
- Workflow:Onnx Onnx Model Creation
- Workflow:Vllm project Vllm Structured Output Generation
- Workflow:Arize ai Phoenix LLM Evaluation Pipeline
Principles
- Principle:Interpretml Interpret Global Explanation Generation
- Principle:ARISE Initiative Robosuite Trajectory Interpolation
- Principle:Ggml org Llama cpp Ngram Speculative Drafting
- Principle:Datahub project Datahub Docker Prerequisites
- Principle:Mbzuai oryx Awesome LLM Post training Keyword Data Loading
- Principle:Explodinggradients Ragas Test Query Synthesis
- Principle:Ggml org Llama cpp Chat Completions
- Principle:ARISE Initiative Robomimic Train Validation Split
- Principle:Eventual Inc Daft Row Filtering
- Principle:Mit han lab Llm awq Multimodal Vision Language Inference
Implementations
- Implementation:LaurentMazare Tch rs A2C Agent
- Implementation:Ggml org Llama cpp Lookahead Decoding
- Implementation:Speechbrain Speechbrain Train L2I
- Implementation:Google deepmind Dm control Trajectory
- Implementation:Hpcaitech ColossalAI Booster Training Loop
- Implementation:CARLA simulator Carla LocalizationStage
- Implementation:Datajuicer Data juicer QueryTopicDetectionMapper
- Implementation:BerriAI Litellm Simple Shuffle Strategy
- Implementation:Shiyu coder Kronos CustomFinetuneConfig Init
- Implementation:NVIDIA TransformerEngine PyTorch Triton Cross Entropy
Heuristics
- Heuristic:OWASP Www project top 10 for large language model applications SHA Pinning For GitHub Actions
- Heuristic:Unslothai Unsloth Gradient Checkpointing Modes
- Heuristic:ClickHouse ClickHouse ThinLTO Build Tradeoffs
- Heuristic:NVIDIA TransformerEngine Sequence Length Alignment
- Heuristic:Iamhankai Forest of Thought Tree Iteration Scaling
- Heuristic:Alibaba MNN GPU Tuning Modes
- Heuristic:Cohere ai Cohere python HTTP Retry Backoff Strategy
- Heuristic:Haifengl Smile Quarkus Async Context Handling
- Heuristic:Neuml Txtai Memory Streaming Optimization
- Heuristic:Unstructured IO Unstructured Warning Deprecated Staging Base
Environments
- Environment:Isaac sim IsaacGymEnvs Python CUDA Runtime
- Environment:CrewAIInc CrewAI Optional Provider Dependencies
- Environment:ArroyoSystems Arroyo Webui Runtime
- Environment:Google research Deduplicate text datasets Python HuggingFace Environment
- Environment:Ggml org Llama cpp Vulkan GPU Environment
- Environment:DataExpert io Data engineer handbook Spark Iceberg Docker Environment
- Environment:Intel Ipex llm NPU Environment
- Environment:Langfuse Langfuse PostgreSQL 17
- Environment:Huggingface Peft BitsAndBytes Quantization
- Environment:Dagster io Dagster Container Resource Monitoring