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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:TobikoData Sqlmesh Dbt project migration
- Workflow:Open compass VLMEvalKit Adding Custom VLM
- Workflow:Treeverse LakeFS Write Audit Publish With Hooks
- Workflow:Marker Inc Korea AutoRAG Pipeline Deployment
- Workflow:Ggml org Llama cpp Speculative Decoding
- Workflow:VainF Torch Pruning CNN Pruning
- Workflow:Vllm project Vllm Vision Language Inference
- Workflow:Kserve Kserve Canary Rollout Deployment
- Workflow:Deepspeedai DeepSpeed Pipeline Parallel Training
- Workflow:Teamcapybara Capybara Form Testing
Principles
- Principle:Speechbrain Speechbrain Spoken Language Understanding
- Principle:Wandb Weave Call Retrieval
- Principle:OpenGVLab InternVL Batch VQA Inference
- Principle:Togethercomputer Together python Document Reranking
- Principle:Apache Beam Element Bundling
- Principle:Mit han lab Llm awq Activation Aware Weight Quantization
- Principle:Microsoft Playwright Verify Expectations with Agent
- Principle:Alibaba ROLL Megatron LoRA Adaptation
- Principle:Togethercomputer Together python Model Listing
- Principle:Arize ai Phoenix Experiment Execution
Implementations
- Implementation:Sgl project Sglang TopK Ops
- Implementation:Openai Openai python Eval Create Params
- Implementation:Tensorflow Serving Batching Session Test
- Implementation:ArroyoSystems Arroyo Choose Connector Page
- Implementation:Openai Openai python Response Error Model
- Implementation:Ggml org Ggml Zdnn backend
- Implementation:Tensorflow Tfjs ConvLSTM2D Layer
- Implementation:Pytorch Serve Install Dependencies Script
- Implementation:Pyro ppl Pyro HMC Kernel
- Implementation:Alibaba MNN Protobuf Struct PB H
Heuristics
- Heuristic:Apache Beam Watermark Update Throttling
- Heuristic:AUTOMATIC1111 Stable diffusion webui UNet Performance Patches
- Heuristic:Apache Hudi Data Skipping Limitations
- Heuristic:Huggingface Datatrove Gopher Quality Thresholds
- Heuristic:Bitsandbytes foundation Bitsandbytes Outlier Threshold Detection
- Heuristic:InternLM Lmdeploy Max Batch Size Selection
- Heuristic:Apache Kafka Log4j Migration Compatibility
- Heuristic:Openai Whisper KV Cache Optimization
- Heuristic:OpenHands OpenHands Fail Open Rate Limiting
- Heuristic:Fede1024 Rust rdkafka Partitioner Must Not Block
Environments
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:LLMBook zh LLMBook zh github io Data Processing Environment
- Environment:Apache Airflow Python Runtime Environment
- Environment:Langgenius Dify Vector Database Environment
- Environment:Vllm project Vllm GitHub
- Environment:Unstructured IO Unstructured OpenAI API
- Environment:Vllm project Vllm Environment Variables
- Environment:SeleniumHQ Selenium Grid Deployment Environment
- Environment:Ollama Ollama Go Runtime
- Environment:Datahub project Datahub Java 17 Backend Environment