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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:Pola rs Polars SQL Query Interface
- Workflow:Apache Kafka Release Candidate Staging
- Workflow:Huggingface Alignment handbook Multi Stage Post Training
- Workflow:Tensorflow Tfjs Pretrained Model Conversion And Inference
- Workflow:CrewAIInc CrewAI Flow Based Orchestration
- Workflow:Mlc ai Web llm Chrome Extension Integration
- Workflow:Kserve Kserve InferenceGraph Pipeline
- Workflow:Online ml River Drift Adaptive Classification
- Workflow:Huggingface Open r1 Model Evaluation
- Workflow:Openai Whisper Language Detection And Decoding
Principles
- Principle:Mlflow Mlflow Predict Function Definition
- Principle:Langchain ai Langgraph Data Encryption
- Principle:Ggml org Llama cpp Computation Graph Building
- Principle:Kornia Kornia Differentiable Training Augmentation
- Principle:Huggingface Diffusers Conditioning Scale Control
- Principle:Langchain ai Langgraph Interrupt Stream Execution
- Principle:Mit han lab Llm awq INT4 Weight Packing
- Principle:Mistralai Client python Tool Result Submission
- Principle:Microsoft Onnxruntime Input Data Preparation
- Principle:Zai org CogVideo Activation Normalization
Implementations
- Implementation:ArroyoSystems Arroyo Pipelines Table
- Implementation:Vibrantlabsai Ragas CacheFramework
- Implementation:Arize ai Phoenix OpenAI Adapter
- Implementation:Openai Openai python Responses Create
- Implementation:Cohere ai Cohere python MessageEnd Stream Finalization
- Implementation:Bigscience workshop Petals Server Run
- Implementation:Cohere ai Cohere python AwsChatModels
- Implementation:Getgauge Taiko Gauge Step Decorators
- Implementation:CARLA simulator Carla WalkerAIController Class
- Implementation:Apache Airflow SecretsMasker
Heuristics
- Heuristic:Online ml River Hoeffding Tree Grace Period Tuning
- Heuristic:Ggml org Ggml Thread Count Selection
- Heuristic:CarperAI Trlx Reward Model Layer Freezing
- Heuristic:Tensorflow Tfjs Memory Management With Tidy
- Heuristic:Openai CLIP FP16 FP32 Dtype Handling
- Heuristic:HKUDS AI Trader Sortino Ratio Capping
- Heuristic:Wandb Weave Sentinel Value Handling
- Heuristic:Onnx Onnx Opset Version Selection
- Heuristic:InternLM Lmdeploy Max Batch Size Selection
- Heuristic:InternLM Lmdeploy KV Cache Memory Tuning
Environments
- Environment:ARISE Initiative Robomimic HuggingFace Hub Dependencies
- Environment:Farama Foundation Gymnasium Video Recording Dependencies
- Environment:Openai Openai agents python Python 3 9 Runtime
- Environment:Zai org CogVideo Diffusers Finetuning Environment
- Environment:Microsoft Onnxruntime Windows Build Environment
- Environment:Eric mitchell Direct preference optimization PyTorch CUDA
- Environment:Apache Flink Python PyFlink Environment
- Environment:Sdv dev SDV GPU CUDA Support
- Environment:Openai Openai node WebSocket Dependency
- Environment:Facebookresearch Habitat lab CUDA GPU Training Environment