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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 DeepSpeedExamples SuperOffload Finetuning
- Workflow:Google deepmind Dm control MJCF Model Composition
- Workflow:Romsto Speculative Decoding Ngram Assisted Speculative Decoding
- Workflow:FMInference FlexLLMGen Single GPU Offloaded Inference
- Workflow:Iamhankai Forest of Thought CGDM Post Processing
- Workflow:Apache Flink Stream File Compaction
- Workflow:Intel Ipex llm QLoRA Finetuning
- Workflow:Openai Whisper Audio Transcription
- Workflow:Apache Shardingsphere Shadow Database Routing
- Workflow:NVIDIA NeMo Curator Fuzzy Deduplication
Principles
- Principle:Ucbepic Docetl Dataset Upload And Operation Creation
- Principle:Deepset ai Haystack Document Data Model
- Principle:Apache Paimon Blob Schema Definition
- Principle:Langchain ai Langchain Standard Unit Testing
- Principle:Huggingface Diffusers Quantized Model Saving
- Principle:Huggingface Diffusers Latent Decoding
- Principle:Tensorflow Serving Graph Rewriting
- Principle:Dotnet Machinelearning Feature Engineering
- Principle:Haifengl Smile Streaming Batch Prediction
- Principle:Datahub project Datahub MCP Construction
Implementations
- Implementation:LLMBook zh LLMBook zh github io GPTQConfig Quantization
- Implementation:Apache Airflow Dockerfile Build
- Implementation:Openai Whisper Median Filter
- Implementation:EvolvingLMMs Lab Lmms eval LLM Judge Prompt Templates
- Implementation:LLMBook zh LLMBook zh github io VLLM LLM Generate
- Implementation:Ucbepic Docetl Directive MapReduceFusion
- Implementation:Eventual Inc Daft LazyImport
- Implementation:Cohere ai Cohere python ModelsClient
- Implementation:Deepspeedai DeepSpeed Evoformer Epilogue Grad Bias
- Implementation:Scikit learn Scikit learn NeighborsBase
Heuristics
- Heuristic:Avdvg InjectGuard Sim K Threshold Tuning
- Heuristic:Getgauge Taiko Network Interception Gotchas
- Heuristic:BerriAI Litellm Token Counting Buffer
- Heuristic:Arize ai Phoenix Environment Variable Precedence
- Heuristic:Google deepmind Mujoco Mesh Quality For Collision
- Heuristic:Mage ai Mage ai Parallel Sink Concurrency Limit
- Heuristic:Wandb Weave Sentinel Value Handling
- Heuristic:Apache Flink Hadoop Thread Safety Mutexes
- Heuristic:Scikit learn Scikit learn Working Memory Tuning
- Heuristic:Arize ai Phoenix Queue Clear Race Condition
Environments
- Environment:Google deepmind Mujoco MJX Warp CUDA Environment
- Environment:Ray project Ray Java Build Environment
- Environment:Cleanlab Cleanlab Python Core Environment
- Environment:Deepspeedai DeepSpeed XPU Environment
- Environment:Promptfoo Promptfoo Node Runtime
- Environment:Lance format Lance Cloud Storage Credentials
- Environment:Huggingface Datasets Search Dependencies
- Environment:Elevenlabs Elevenlabs python PyAudio
- Environment:ThreeSR Awesome Inference Time Scaling Semantic Scholar API Environment
- Environment:Mlflow Mlflow MLflow Server Environment