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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:Langchain ai Langgraph ReAct Agent Creation
- Workflow:Mage ai Mage ai Building a New Destination Connector
- Workflow:LMCache LMCache Disaggregated Prefill
- Workflow:Eventual Inc Daft SQL Query Analytics
- Workflow:Helicone Helicone Integrate Provider To Gateway
- Workflow:Mlc ai Web llm Text Embeddings And RAG
- Workflow:Danijar Dreamerv3 Train And Evaluate
- Workflow:OWASP Www project top 10 for large language model applications Agentic Security Assessment
- Workflow:Spcl Graph of thoughts GoT Sorting Pipeline
- Workflow:DistrictDataLabs Yellowbrick Cluster Analysis
Principles
- Principle:Webdriverio Webdriverio Service Hook Lifecycle
- Principle:Arize ai Phoenix Annotation Querying
- Principle:Sail sg LongSpec Inference Model Loading
- Principle:Sdv dev SDV Sequential Model Fitting
- Principle:Google deepmind Mujoco Constraint Dynamics
- Principle:Tensorflow Serving TFRT Inference
- Principle:Openclaw Openclaw Log Inspection
- Principle:CarperAI Trlx Reward Model Architecture
- Principle:Openai Evals Self Consistency Prompting
- Principle:Kornia Kornia Local Feature Detection
Implementations
- Implementation:MaterializeInc Materialize Namescore CLI
- Implementation:Google deepmind Mujoco mj makeData
- Implementation:Langfuse Langfuse Seeder Data Generators
- Implementation:Neuml Txtai SQL Parser
- Implementation:Evidentlyai Evidently Legacy OOV Words Feature
- Implementation:Intel Ipex llm NPU LLM CLI Cpp
- Implementation:Openai Openai python Fine Tuned Model Inference
- Implementation:Ggml org Ggml Ggml opt fit
- Implementation:ARISE Initiative Robomimic TrainUtils load data for training
- Implementation:SeleniumHQ Selenium Civetweb API
Heuristics
- Heuristic:Huggingface Peft RSLoRA Scaling
- Heuristic:Marker Inc Korea AutoRAG Module Selection Strategies
- Heuristic:ThreeSR Awesome Inference Time Scaling Empty Venue Default Tip
- Heuristic:Langchain ai Langgraph Checkpointer Selection Guide
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Test Train Option Consistency
- Heuristic:Hpcaitech ColossalAI Warning Deprecated Ray Detached PPO
- Heuristic:Diagram of thought Diagram of thought Typed Records For Auditability
- Heuristic:Puppeteer Puppeteer Chrome Default Launch Arguments
- Heuristic:Haosulab ManiSkill Num Envs Backend Selection
- Heuristic:Openai CLIP FP16 FP32 Dtype Handling
Environments
- Environment:LLMBook zh LLMBook zh github io Bitsandbytes Quantization Environment
- Environment:ArroyoSystems Arroyo Kubernetes Deployment
- Environment:Haosulab ManiSkill Python SAPIEN Core
- Environment:Microsoft BIPIA OpenAI API Environment
- Environment:Zai org CogVideo Diffusers Inference Environment
- Environment:Eric mitchell Direct preference optimization PyTorch CUDA
- Environment:LMCache LMCache Python Runtime
- Environment:Promptfoo Promptfoo Provider API Keys
- Environment:Pytorch Serve Distributed Training Environment
- Environment:Huggingface Datasets Search Dependencies