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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 |
Explore Pages
Workflows
- Workflow:Microsoft Playwright End to end test authoring
- Workflow:Promptfoo Promptfoo CI CD Integration
- Workflow:Turboderp org Exllamav2 LoRA Adapter Inference
- Workflow:NVIDIA DALI Image Preprocessing Pipeline
- Workflow:Dagster io Dagster Dbt Integration
- Workflow:Zai org CogVideo Diffusers LoRA Finetuning
- Workflow:Googleapis Python genai Image Generation Pipeline
- Workflow:Google deepmind Dm control Manipulation Task Setup
- Workflow:Spotify Luigi Hadoop MapReduce Pipeline
- Workflow:Langchain ai Langgraph CLI Deployment
Principles
- Principle:Confident ai Deepeval Document Chunking
- Principle:Isaac sim IsaacGymEnvs Results Collection
- Principle:Microsoft LoRA BPE Text Decoding
- Principle:Guardrails ai Guardrails SchemaProcessing
- Principle:Langfuse Langfuse Trace Sampling
- Principle:OpenGVLab InternVL Gradio Chat Serving
- Principle:Ollama Ollama Compute Graph System
- Principle:Neuml Txtai Semantic Query
- Principle:Apache Spark Dependency Pinning
- Principle:Ggml org Ggml Vulkan GPU Computation
Implementations
- Implementation:AUTOMATIC1111 Stable diffusion webui Load networks
- Implementation:Apache Flink HadoopMapFunction
- Implementation:Ollama Ollama MLXRunner Server
- Implementation:Microsoft Autogen Studio Builder Utils
- Implementation:Online ml River Tree MondrianTreeNodes
- Implementation:BerriAI Litellm Dot Notation Indexing
- Implementation:Open compass VLMEvalKit MovieChat1k
- Implementation:Infiniflow Ragflow UseMcpRequest Hooks
- Implementation:Open compass VLMEvalKit VXVERSE
- Implementation:Mlc ai Mlc llm RNN State
Heuristics
- Heuristic:Marker Inc Korea AutoRAG OpenAI Rate Limit Mitigation
- Heuristic:Bitsandbytes foundation Bitsandbytes Compute Dtype Mismatch Warning
- Heuristic:Datahub project Datahub Secret Handling And Deprecation Patterns
- Heuristic:Testtimescaling Testtimescaling github io Dual JSON Sync
- Heuristic:Duckdb Duckdb Build Parallelism Tuning
- Heuristic:Spcl Graph of thoughts Four Bit Quantization For Local LLMs
- Heuristic:Alibaba ROLL KL Coefficient Tuning
- Heuristic:Apache Flink False Positive Availability Optimization
- Heuristic:Recommenders team Recommenders TensorFlow Session Ordering
- Heuristic:Microsoft Semantic kernel Custom HttpClient Retry Policy
Environments
- Environment:Kubeflow Pipelines KFP Backend Deployment
- Environment:Bitsandbytes foundation Bitsandbytes CUDA GPU Runtime
- Environment:Kserve Kserve Kubernetes Cluster
- Environment:Arize ai Phoenix Frontend Node 22
- Environment:Danijar Dreamerv3 JAX CUDA
- Environment:Microsoft Onnxruntime CPU Training Environment
- Environment:Openai Evals Optional Provider APIs
- Environment:Kubeflow Kubeflow Git GitHub Environment
- Environment:ThreeSR Awesome Inference Time Scaling Git CLI Environment
- Environment:Cohere ai Cohere python Python SDK Runtime