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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:Apache Shardingsphere Shadow Database Routing
- Workflow:Tensorflow Serving Model Version Management
- Workflow:Farama Foundation Gymnasium Agent Evaluation Recording
- Workflow:Wandb Weave Tracing Setup
- Workflow:NVIDIA DALI Image Preprocessing Pipeline
- Workflow:Huggingface Peft LoRA Causal LM Finetuning
- Workflow:MaterializeInc Materialize Release Process
- Workflow:Liu00222 Open Prompt Injection Detection Localization Defense
- Workflow:ContextualAI HALOs Online Iterative Alignment
- Workflow:Huggingface Transformers PEFT Adapter Integration
Principles
- Principle:Haifengl Smile SQL to ML Bridge
- Principle:Haotian liu LLaVA CLI Interactive Chat
- Principle:Ggml org Llama cpp Tensor Debugging
- Principle:Elevenlabs Elevenlabs python Realtime Speech to Text
- Principle:Dotnet Machinelearning Experiment Execution
- Principle:DistrictDataLabs Yellowbrick Feature Dropping Analysis
- Principle:PacktPublishing LLM Engineers Handbook Vector Similarity Search
- Principle:Online ml River ODAC Clustering
- Principle:ClickHouse ClickHouse Wide Integer Arithmetic
- Principle:Run llama Llama index Training Data Collection
Implementations
- Implementation:InternLM Lmdeploy Serve Proxy
- Implementation:Datajuicer Data juicer ImageMMPoseMapper
- Implementation:Infiniflow Ragflow Settings Constants
- Implementation:Huggingface Peft SFTTrainer Usage
- Implementation:Speechbrain Speechbrain Dynamic Mix Data Prep
- Implementation:Isaac sim IsaacGymEnvs RLGPUAlgoObserver Metrics
- Implementation:FlagOpen FlagEmbedding MLVU Summary Data
- Implementation:NVIDIA DALI CMake Plugin Build
- Implementation:Mit han lab Llm awq Auto scale block
- Implementation:Unstructured IO Unstructured BaseEmbeddingEncoder
Heuristics
- Heuristic:Huggingface Optimum Version Conditional Behavior
- Heuristic:Zai org CogVideo Data Preparation Best Practices
- Heuristic:Lucidrains X transformers Numerical Stability Techniques
- Heuristic:Astronomer Astronomer cosmos Deprecation Migration Paths
- Heuristic:Openai CLIP Linear Probe Regularization C
- Heuristic:Ollama Ollama Multimodal Parallel Restriction
- Heuristic:Fastai Fastbook Random Forest Defaults
- Heuristic:TA Lib Ta lib python NaN Propagation Behavior
- Heuristic:Microsoft DeepSpeedExamples LoRA Learning Rate Scaling
- Heuristic:Run llama Llama index Finetuning Warmup Steps
Environments
- Environment:Treeverse LakeFS S3 Gateway Test Environment
- Environment:Volcengine Verl Megatron Core Environment
- Environment:Ggml org Ggml Vulkan GPU Environment
- Environment:InternLM Lmdeploy Build From Source
- Environment:Deepspeedai DeepSpeed Multi Accelerator Environment
- Environment:TA Lib Ta lib python Python Build Environment
- Environment:Mlflow Mlflow OpenAI LLM Integration Environment
- Environment:Huggingface Trl vLLM Generation Environment
- Environment:Alibaba ROLL Ascend NPU Environment
- Environment:Vllm project Vllm NVIDIA CUDA