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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:Sgl project Sglang Offline Batch Inference
- Workflow:Volcengine Verl PPO Training With Reward Model
- Workflow:CARLA simulator Carla Simulation Recording and Replay
- Workflow:FlagOpen FlagEmbedding Embedder Finetuning
- Workflow:Huggingface Open r1 Dataset Pass Rate Filtering
- Workflow:Vllm project Vllm Structured Output Generation
- Workflow:ChenghaoMou Text dedup Benchmark Evaluation
- Workflow:CarperAI Trlx RLHF Summarization Pipeline
- Workflow:Ggml org Llama cpp Model Perplexity Evaluation
- Workflow:Openai Evals Implementing a custom completion function
Principles
- Principle:Speechbrain Speechbrain Speech Translation Training
- Principle:Huggingface Transformers Fully Sharded Data Parallelism
- Principle:Fastai Fastbook Entity Embeddings
- Principle:Isaac sim IsaacGymEnvs Robot Controller Configuration
- Principle:SeleniumHQ Selenium Session Request Routing
- Principle:Ggml org Llama cpp KV Cache Management
- Principle:FlowiseAI Flowise Workspace Navigation
- Principle:Unslothai Unsloth Quantized Model Loading
- Principle:Sgl project Sglang Structured Output Validation
- Principle:Onnx Onnx Shape Inference
Implementations
- Implementation:Explodinggradients Ragas AnswerCorrectness Metric
- Implementation:Bentoml BentoML Framework EasyOCR
- Implementation:Apache Paimon BitmapDeletionVector
- Implementation:Deepseek ai Janus Noise Initialization
- Implementation:Pyro ppl Pyro SMCFilter Example
- Implementation:Huggingface Datasets Dataset With Format
- Implementation:Kornia Kornia MobileViT
- Implementation:EvolvingLMMs Lab Lmms eval StructEditBench 2Stage Eval
- Implementation:Allenai Open instruct Build Reference Logprobs Cache
- Implementation:Open compass VLMEvalKit MMAlaya
Heuristics
- Heuristic:Eric mitchell Direct preference optimization Activation Checkpointing Memory
- Heuristic:FMInference FlexLLMGen OOM Memory Management
- Heuristic:Fastai Fastbook Embedding Size Rule
- Heuristic:Mistralai Client python Retry Backoff Strategy
- Heuristic:Apache Kafka Coordinator Loading Commit Interval
- Heuristic:Apache Airflow Task Dependency Isolation
- Heuristic:Shiyu coder Kronos Instance Normalization Clipping
- Heuristic:DevExpress Testcafe Window Resize Correction
- Heuristic:Lucidrains X transformers Numerical Stability Techniques
- Heuristic:NVIDIA NeMo Curator Deduplication Blocksize Tuning
Environments
- Environment:Facebookresearch Habitat lab HITL Runtime Environment
- Environment:Apache Airflow Development Contributor Environment
- Environment:Vllm project Vllm Python Dependencies
- Environment:Marker Inc Korea AutoRAG API Keys And Credentials
- Environment:Microsoft Autogen Studio Server Environment
- Environment:Datahub project Datahub Python 3 10 Ingestion Environment
- Environment:Kubeflow Kubeflow Istio Certmanager Dex Environment
- Environment:Apache Airflow Docker Container Environment
- Environment:Diagram of thought Diagram of thought Graphviz
- Environment:Mit han lab Llm awq CUDA Build Environment