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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:FMInference FlexLLMGen HELM Benchmark Evaluation
- Workflow:Groq Groq python Streaming Chat Completion
- Workflow:Fastai Fastbook Image Classification
- Workflow:Kserve Kserve Multi Model Serving
- Workflow:Iamhankai Forest of Thought Game24 Forest Solving
- Workflow:Huggingface Datasets Dataset Preprocessing
- Workflow:Langfuse Langfuse Evaluation pipeline
- Workflow:PacktPublishing LLM Engineers Handbook Model Evaluation
- Workflow:Nautechsystems Nautilus trader Strategy development
- Workflow:Roboflow Rf detr Custom Dataset Finetuning
Principles
- Principle:Infiniflow Ragflow Citation Insertion
- Principle:Togethercomputer Together python Result Integration
- Principle:Open compass VLMEvalKit Results Summarization
- Principle:Openai Openai agents python Guardrail Execution
- Principle:Fastai Fastbook Classifier Data Preparation
- Principle:Apache Druid Query Composition
- Principle:Huggingface Trl DPO Training
- Principle:Ggml org Llama cpp Target Model Loading
- Principle:Deepspeedai DeepSpeed Supervised Fine Tuning
- Principle:CARLA simulator Carla Playback Speed Control
Implementations
- Implementation:Dotnet Machinelearning FactorizationMachineCore
- Implementation:Openai Openai python Realtime Server Events
- Implementation:Scikit learn Scikit learn Bunch
- Implementation:Huggingface Datasets Dataset To Parquet
- Implementation:Ollama Ollama ConvertModel
- Implementation:Elevenlabs Elevenlabs python ForcedAlignmentClient
- Implementation:Googleapis Python genai Sphinx BaseStemmer
- Implementation:Romsto Speculative Decoding AutoModelForCausalLM From Pretrained
- Implementation:NVIDIA TransformerEngine Normalization C API
- Implementation:FMInference FlexLLMGen DeepSpeed Op Builder
Heuristics
- Heuristic:LMCache LMCache Prefix Based Retrieval Pattern
- Heuristic:Puppeteer Puppeteer Headless Linux Requirements
- Heuristic:Deepset ai Haystack BM25 Score Scaling
- Heuristic:Huggingface Peft Gradient Checkpointing With Quantization
- Heuristic:Datahub project Datahub Docker Memory Preflight
- Heuristic:Apache Flink False Positive Availability Optimization
- Heuristic:Openclaw Openclaw WebSocket Reconnection And Session Cleanup
- Heuristic:Marker Inc Korea AutoRAG Batch Size Tuning
- Heuristic:Facebookresearch Audiocraft FSDP Distributed Training Tips
- Heuristic:Isaac sim IsaacGymEnvs DR Setup Only Flag
Environments
- Environment:Ucbepic Docetl Docker Deployment
- Environment:Farama Foundation Gymnasium MuJoCo Physics Backend
- Environment:Vibrantlabsai Ragas Python 3 9 Core Environment
- Environment:Dotnet Machinelearning ONNX Runtime Environment
- Environment:Microsoft Semantic kernel OpenAI API Environment
- Environment:Hiyouga LLaMA Factory FP8 Training Environment
- Environment:BerriAI Litellm Provider API Credentials
- Environment:Openai Whisper Numba
- Environment:Heibaiying BigData Notes Java 8 Maven Environment
- Environment:Sgl project Sglang Web