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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:Mlc ai Web llm Chrome Extension Integration
- Workflow:NVIDIA DALI Image Preprocessing Pipeline
- Workflow:Openclaw Openclaw Initial Setup And Onboarding
- Workflow:FlagOpen FlagEmbedding Embedder Finetuning
- Workflow:Microsoft Agent framework Multi Agent Sequential Orchestration
- Workflow:Ggml org Llama cpp Multimodal Inference
- Workflow:Fede1024 Rust rdkafka Produce Consume Roundtrip
- Workflow:Huggingface Diffusers Video Generation
- Workflow:Google deepmind Dm control Manipulation Task Setup
- Workflow:Iterative Dvc Experiment Tracking
Principles
- Principle:Nightwatchjs Nightwatch Client Initialization
- Principle:Huggingface Datasets Dataset Config Info Retrieval
- Principle:Groq Groq python Vector Extraction
- Principle:Google deepmind Mujoco Model Format Detection
- Principle:Lm sys FastChat Leaderboard Dashboard Rendering
- Principle:Unslothai Unsloth Response Masking
- Principle:ClickHouse ClickHouse WebSocket Communication
- Principle:Apache Shardingsphere Cluster Repository Initialization
- Principle:Apache Kafka Builder Cleanup
- Principle:Ggml org Llama cpp Quantization Type Selection
Implementations
- Implementation:Mage ai Mage ai Parse Args
- Implementation:Farama Foundation Gymnasium GAE Computation
- Implementation:Kubeflow Kubeflow Kubectl Kustomize Version Check
- Implementation:Openai Openai python CLI Entry Point
- Implementation:ArroyoSystems Arroyo Scheduler Trait
- Implementation:Triton inference server Server GenAI Perf
- Implementation:InternLM Lmdeploy LanguageModel
- Implementation:Promptfoo Promptfoo Version Constants
- Implementation:Heibaiying BigData Notes Hive Create Table
- Implementation:Openai Openai python Container Auto Param
Heuristics
- Heuristic:ClickHouse ClickHouse ThinLTO Build Tradeoffs
- Heuristic:CarperAI Trlx Delta Rewards
- Heuristic:Huggingface Diffusers VAE Scaling Factors
- Heuristic:ArroyoSystems Arroyo Batch Size And Backpressure
- Heuristic:Alibaba ROLL Numerical Stability Epsilon
- Heuristic:ARISE Initiative Robosuite Observation Key Selection
- Heuristic:Apache Dolphinscheduler Netty Thread Sizing
- Heuristic:Avdvg InjectGuard Module Level Initialization
- Heuristic:Iamhankai Forest of Thought UCB Exploration Constant
- Heuristic:Openai CLIP Class Name Curation
Environments
- Environment:Heibaiying BigData Notes Spark 2 4 Environment
- Environment:Eric mitchell Direct preference optimization HuggingFace Transformers
- Environment:Facebookresearch Audiocraft Python PyTorch CUDA Environment
- Environment:Mlflow Mlflow Python Runtime Environment
- Environment:Cohere ai Cohere python Python SDK Runtime
- Environment:Deepset ai Haystack GPU Device Environment
- Environment:OWASP Www project top 10 for large language model applications PR Description Generator Runtime
- Environment:Explodinggradients Ragas Optional Metrics Environment
- Environment:Unslothai Unsloth CUDA BitsAndBytes
- Environment:Google deepmind Dm control EGL Headless Rendering