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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:Run llama Llama index OpenAI LLM Finetuning
- Workflow:Lance format Lance Dataset Lifecycle
- Workflow:Deepspeedai DeepSpeed AutoTP Training
- Workflow:Openai Openai python Chat Completion
- Workflow:Facebookresearch Audiocraft EnCodec Compression Training
- Workflow:Facebookresearch Audiocraft Model Export And Deployment
- Workflow:Risingwavelabs Risingwave CDC Data Replication
- Workflow:Explodinggradients Ragas RAG Evaluation
- Workflow:Truera Trulens RAG Evaluation With LangChain
- Workflow:Kornia Kornia Differentiable Image Augmentation
Principles
- Principle:Microsoft Semantic kernel AI Service Registration
- Principle:Liu00222 Open Prompt Injection Text Segmentation
- Principle:Teamcapybara Capybara Selector Modification
- Principle:Online ml River Online Recommendation
- Principle:DevExpress Testcafe Runner Creation
- Principle:Confident ai Deepeval Golden Generation from Documents
- Principle:Google deepmind Mujoco Physics Stepping
- Principle:Haotian liu LLaVA Image Preprocessing
- Principle:Online ml River Online Random Forest Variants
- Principle:Puppeteer Puppeteer Browser Version Resolution
Implementations
- Implementation:Tencent Ncnn TF Types
- Implementation:Turboderp org Exllamav2 Model Diff
- Implementation:Mlflow Mlflow Search Prompts
- Implementation:Treeverse LakeFS MergeIntoBranch
- Implementation:Teamcapybara Capybara Capybara RSpec Setup
- Implementation:Pyro ppl Pyro LazyJIT
- Implementation:Roboflow Rf detr Best Checkpoint Selection
- Implementation:Interpretml Interpret Powerlift BicepAzureContainerInstance
- Implementation:Elevenlabs Elevenlabs python Audio File Pattern
- Implementation:Helicone Helicone BaseProvider
Heuristics
- Heuristic:Ggml org Llama cpp Context Size Alignment
- Heuristic:Haotian liu LLaVA Use Cache Training Inference Toggle
- Heuristic:Apache Dolphinscheduler JDBC Security Blocklist
- Heuristic:ClickHouse ClickHouse Jemalloc Production Requirement
- Heuristic:Dagster io Dagster Retry Strategy Configuration
- Heuristic:OWASP Www project top 10 for large language model applications SHA Pinning For GitHub Actions
- Heuristic:Tencent Ncnn FP16 Precision Selection
- Heuristic:Cohere ai Cohere python ToolCallV2 Auto UUID Override
- Heuristic:NVIDIA NeMo Curator Deduplication Blocksize Tuning
- Heuristic:Apache Airflow Database Lock Handling
Environments
- Environment:Truera Trulens Python Core Environment
- Environment:Ray project Ray Java Build Environment
- Environment:Pola rs Polars Rust Build Environment
- Environment:Mbzuai oryx Awesome LLM Post training Git CLI
- Environment:Datahub project Datahub Spark Lineage Environment
- Environment:Openai Openai agents python Voice Dependencies
- Environment:VainF Torch Pruning CUDA GPU Benchmarking
- Environment:Pola rs Polars Python Runtime Environment
- Environment:Deepspeedai DeepSpeed NVMe Environment
- Environment:Helicone Helicone Docker Compose Infrastructure