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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 |
Explore Pages
Workflows
- Workflow:Pytorch Serve LLM Deployment vLLM
- Workflow:Speechbrain Speechbrain Speaker Embedding Training
- Workflow:Cleanlab Cleanlab Multiannotator Consensus
- Workflow:Arize ai Phoenix Dataset and Experiment Lifecycle
- Workflow:TobikoData Sqlmesh Github CICD automation
- Workflow:Apache Hudi Docker Demo Setup
- Workflow:Vllm project Vllm Offline Text Generation
- Workflow:Microsoft Semantic kernel Kernel Setup And Chat Completion
- Workflow:LMCache LMCache KV Cache Offloading
- Workflow:CrewAIInc CrewAI Crew Training And Testing
Principles
- Principle:FlagOpen FlagEmbedding Cross Encoder Reranking
- Principle:Marker Inc Korea AutoRAG Results Dashboard
- Principle:Avhz RustQuant Business Calendar
- Principle:Iterative Dvc SCM Introspection
- Principle:Googleapis Python genai Content Generation With Cache
- Principle:Eric mitchell Direct preference optimization Dropout Disabling
- Principle:LaurentMazare Tch rs Neural Style Transfer
- Principle:Tensorflow Serving HTTP Server Implementation
- Principle:Langgenius Dify Application Creation
- Principle:Facebookresearch Audiocraft Language Model Export
Implementations
- Implementation:Predibase Lorax Flash SantaCoder Modeling
- Implementation:Langgenius Dify Embed Widget
- Implementation:Axolotl ai cloud Axolotl Load Tokenizer
- Implementation:Datajuicer Data juicer Job Monitor
- Implementation:ThreeSR Awesome Inference Time Scaling Git Commit And Push Function
- Implementation:Langfuse Langfuse IngestionQueue
- Implementation:NVIDIA TransformerEngine Float8Blockwise Storage
- Implementation:Protectai Llm guard Benchmark run
- Implementation:Promptfoo Promptfoo Cache Migration
- Implementation:Open compass VLMEvalKit ImageMCQDataset Build Prompt
Heuristics
- Heuristic:OpenHands OpenHands Streamable HTTP Over SSE
- Heuristic:FMInference FlexLLMGen Weight Compression 4bit
- Heuristic:MaterializeInc Materialize CI Agent Prioritization
- Heuristic:Anthropics Anthropic sdk python Retry Backoff Strategy
- Heuristic:Bitsandbytes foundation Bitsandbytes Outlier Threshold Detection
- Heuristic:Speechbrain Speechbrain Dynamic Mixing Parameters
- Heuristic:TA Lib Ta lib python Thread Safety With Abstract API
- Heuristic:ChenghaoMou Text dedup False Positive Verification Tradeoff
- Heuristic:Microsoft BIPIA OpenAI Rate Limit Retry
- Heuristic:OpenBMB UltraFeedback GPU Memory Utilization
Environments
- Environment:Sgl project Sglang OpenAI
- Environment:Deepspeedai DeepSpeed Python Runtime Environment
- Environment:Lance format Lance Python Environment
- Environment:Microsoft Autogen LLM Provider API Keys
- Environment:Openclaw Openclaw Gateway Network Ports
- Environment:ArroyoSystems Arroyo Python UDF Runtime
- Environment:VainF Torch Pruning CUDA GPU Benchmarking
- Environment:Unstructured IO Unstructured Ingest CLI
- Environment:Duckdb Duckdb Extension Distribution Env
- Environment:Huggingface Datasets PyTorch Integration