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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:SeldonIO Seldon core AB Testing Experiment
- Workflow:NVIDIA TransformerEngine Accelerate HF Gemma With TE
- Workflow:Interpretml Interpret Blackbox Model Explanation
- Workflow:Rapidsai Cuml GPU Clustering
- Workflow:Mistralai Client python Chat Completion
- Workflow:Deepspeedai DeepSpeed Sequence Parallel Long Context Training
- Workflow:Google deepmind Mujoco GPU batched simulation MJX
- Workflow:Microsoft Agent framework Basic Agent Creation
- Workflow:Lm sys FastChat MT Bench Evaluation
- Workflow:Apache Kafka Coordinator Runtime Lifecycle
Principles
- Principle:Eric mitchell Direct preference optimization Concatenated Inputs
- Principle:Huggingface Datatrove Inference Type System
- Principle:Online ml River Time Series Stream Loading
- Principle:Bentoml BentoML Cloud Authentication
- Principle:MarketSquare Robotframework browser Plugin Architecture
- Principle:Allenai Open instruct Reward Model Initialization
- Principle:Bitsandbytes foundation Bitsandbytes FSDP Quant State Recovery
- Principle:Huggingface Diffusers Diffusion Training Loop
- Principle:Spcl Graph of thoughts Thought Generation
- Principle:Teamcapybara Capybara Scoped Interaction
Implementations
- Implementation:Langgenius Dify Frontend Config
- Implementation:Romsto Speculative Decoding Ngram Assisted Speculative Generate
- Implementation:Microsoft Playwright Client Connection
- Implementation:FlagOpen FlagEmbedding BGE VL Flag MMRet
- Implementation:Fede1024 Rust rdkafka StreamConsumer Stream
- Implementation:FlagOpen FlagEmbedding Reinforced IR Multi GPU
- Implementation:Langfuse Langfuse DatasetItemValidator
- Implementation:Neuml Txtai Application Init
- Implementation:OpenGVLab InternVL Dynamic Preprocess
- Implementation:Apache Dolphinscheduler IWorkflowControlClient Trigger
Heuristics
- Heuristic:Mage ai Mage ai Batch Size Tuning
- Heuristic:Lm sys FastChat GPU Memory Allocation Strategy
- Heuristic:Openclaw Openclaw WebSocket Reconnection And Session Cleanup
- Heuristic:Huggingface Datasets Cache Fingerprinting Tips
- Heuristic:TobikoData Sqlmesh Snapshot TTL Defaults
- Heuristic:Nautechsystems Nautilus trader Cache Buffer Interval Tuning
- Heuristic:Unslothai Unsloth GGUF Quantization Selection
- Heuristic:Princeton nlp Tree of thought llm Global State Token Counting
- Heuristic:EvolvingLMMs Lab Lmms eval Limit Flag Testing Only
- Heuristic:Huggingface Peft Gradient Checkpointing With Quantization
Environments
- Environment:Elevenlabs Elevenlabs python Python Websockets
- Environment:Vllm project Vllm CUDA GPU Runtime
- Environment:NVIDIA NeMo Aligner TensorRT LLM Acceleration Environment
- Environment:OpenBMB UltraFeedback vLLM Multi GPU Environment
- Environment:Dagster io Dagster DAGSTER HOME Configuration
- Environment:Langchain ai Langchain Anthropic API Credentials
- Environment:Microsoft BIPIA Python CUDA GPU Environment
- Environment:Apache Flink Hadoop Compatibility Environment
- Environment:Microsoft Playwright Node Runtime Environment
- Environment:Junyanz Pytorch CycleGAN and pix2pix Python PyTorch Runtime