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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:Haifengl Smile Matrix Decomposition Pipeline
- Workflow:Nautechsystems Nautilus trader Strategy development
- Workflow:Hpcaitech ColossalAI Model Evaluation
- Workflow:Trailofbits Fickling PyTorch Format Identification
- Workflow:Openai Openai python Realtime Conversation
- Workflow:Teamcapybara Capybara Custom Selector Definition
- Workflow:Axolotl ai cloud Axolotl Full Finetuning Distributed
- Workflow:Gretelai Gretel synthetics DGAN Timeseries Generation
- Workflow:Dagster io Dagster ETL Pipeline
- Workflow:Apache Druid SQL Query Execution
Principles
- Principle:Microsoft Autogen Team Persistence
- Principle:Avhz RustQuant Volatility Surface
- Principle:Infiniflow Ragflow Infrastructure Orchestration
- Principle:EvolvingLMMs Lab Lmms eval Queue Monitoring
- Principle:Fastai Fastbook Activation Functions
- Principle:Kserve Kserve Pipeline Validation
- Principle:Huggingface Diffusers Pipeline Level Quantization
- Principle:Alibaba MNN Diffusion Engine Compilation
- Principle:Huggingface Diffusers Auto Docstring Generation
- Principle:Lm sys FastChat Condensed Rotary Embedding
Implementations
- Implementation:Google deepmind Dm control MJCF Schema
- Implementation:Marker Inc Korea AutoRAG Bm25 And Vectordb Ingest
- Implementation:Apache Beam JobServicePipelineResult
- Implementation:Groq Groq python Batches Retrieve
- Implementation:NVIDIA NeMo Aligner Compute Topk Logits
- Implementation:Speechbrain Speechbrain Separation Save Results
- Implementation:Langgenius Dify Timezone Data
- Implementation:Langfuse Langfuse FetchLLMCompletion Eval
- Implementation:Infiniflow Ragflow AddedSourceCard Component
- Implementation:Puppeteer Puppeteer Cdp ExtensionTransport
Heuristics
- Heuristic:VainF Torch Pruning AutoGrad Dependency Graph
- Heuristic:NVIDIA NeMo Aligner Warning Deprecated Repository
- Heuristic:Huggingface Datasets Flatten Indices Performance
- Heuristic:Hiyouga LLaMA Factory Mixed Precision Training Tips
- Heuristic:Apache Dolphinscheduler Datasource Cache Expiry
- Heuristic:CARLA simulator Carla Client Server Version Match
- Heuristic:Testtimescaling Testtimescaling github io Skip CI Commit Tag
- Heuristic:Intel Ipex llm DeepSpeed Tensor Parallel Tips
- Heuristic:Romsto Speculative Decoding Seed Fixing For Reproducibility
- Heuristic:Cohere ai Cohere python Embed Auto Batching Strategy
Environments
- Environment:Ggml org Ggml Metal GPU Environment
- Environment:Risingwavelabs Risingwave Docker Deployment Environment
- Environment:Kserve Kserve Kubernetes Cluster
- Environment:Scikit learn contrib Imbalanced learn Keras TensorFlow
- Environment:Microsoft Playwright Node Runtime Environment
- Environment:OpenBMB UltraFeedback vLLM Multi GPU Environment
- Environment:Sgl project Sglang CUDA Runtime
- Environment:Huggingface Datatrove Processing Dependencies
- Environment:Mistralai Client python Azure Deployment Environment
- Environment:OpenRLHF OpenRLHF Flash Attention Environment