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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:OpenBMB UltraFeedback GPT4 Preference Annotation
- Workflow:Langchain ai Langchain Tool Calling Structured Output
- Workflow:Facebookresearch Audiocraft EnCodec Compression Training
- Workflow:Alibaba ROLL Supervised Finetuning Pipeline
- Workflow:Kubeflow Pipelines Pipeline Control Flow
- Workflow:Pola rs Polars DataFrame Aggregation and Grouping
- Workflow:Lucidrains X transformers Encoder Decoder Sequence to Sequence
- Workflow:Ollama Ollama Model Pull And Run
- Workflow:Googleapis Python genai Image Generation Pipeline
- Workflow:Zai org CogVideo Diffusers Text to Video Inference
Principles
- Principle:Explodinggradients Ragas Prompt Iteration Comparison
- Principle:Apache Flink Checkpoint Position Tracking
- Principle:Farama Foundation Gymnasium Environment Error Handling
- Principle:Mlfoundations Open flamingo Distributed Training Setup
- Principle:MarketSquare Robotframework browser Development Environment Setup
- Principle:Spotify Luigi NoSQL Data Targets
- Principle:Openai Openai agents python Computer Use
- Principle:OpenGVLab InternVL Learning Rate Scheduling
- Principle:SeldonIO Seldon core Experiment Configuration
- Principle:Microsoft Onnxruntime ORTModule Training Loop
Implementations
- Implementation:Hpcaitech ColossalAI Booster Training Loop
- Implementation:Microsoft Autogen TeamManager LiteStudio
- Implementation:CARLA simulator Carla BasicAgent Vehicle Obstacle Detected
- Implementation:Langchain ai Langgraph SDK Schema
- Implementation:Apache Paimon OptionsUtils Python
- Implementation:Facebookresearch Habitat lab XRInput
- Implementation:Turboderp org Exllamav2 Ext QMatrix
- Implementation:Roboflow Rf detr Save GT Predictions Visualization
- Implementation:NVIDIA TransformerEngine JAX XLA Activation
- Implementation:LaurentMazare Tch rs Atari Wrappers
Heuristics
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Batch Size One Default
- Heuristic:Allenai Open instruct Gradient Clipping Norm
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Image Size Multiple of Four
- Heuristic:Mlc ai Web llm Service Worker Keep Alive
- Heuristic:Langchain ai Langgraph Recursion Limit Tuning
- Heuristic:Neuml Txtai MacOS Stability Workarounds
- Heuristic:OpenRLHF OpenRLHF vLLM Embedding Resize Warning
- Heuristic:EvolvingLMMs Lab Lmms eval Memory Cleanup After Inference
- Heuristic:Bitsandbytes foundation Bitsandbytes Compute Dtype Mismatch Warning
- Heuristic:Mlflow Mlflow Async Logging Best Practices
Environments
- Environment:Vespa engine Vespa POSIX Mmap Log Control
- Environment:Scikit learn contrib Imbalanced learn Keras TensorFlow
- Environment:Kserve Kserve SRIOV RDMA Network
- Environment:Openclaw Openclaw State Directory And Credentials
- Environment:Facebookresearch Habitat lab SLURM Distributed Environment
- Environment:Apache Airflow Docker Container Environment
- Environment:Sgl project Sglang Grafana
- Environment:Onnx Onnx Cpp Build Environment
- Environment:Hpcaitech ColossalAI GRPO Distributed Environment
- Environment:Kubeflow Pipelines Kubernetes Cluster