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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:InternLM Lmdeploy W4A16 AWQ Quantization
- Workflow:Tencent Ncnn Image Classification Inference
- Workflow:Predibase Lorax Single LoRA Inference
- Workflow:Haotian liu LLaVA Two Stage Pretraining and Finetuning
- Workflow:Kserve Kserve InferenceGraph Pipeline
- Workflow:NVIDIA NeMo Aligner DPO Training
- Workflow:Deepseek ai Janus Autoregressive Image Generation
- Workflow:Allenai Open instruct Reward Model Training
- Workflow:Vllm project Vllm Multi LoRA Serving
- Workflow:Apache Druid SQL Based Data Ingestion
Principles
- Principle:Google deepmind Mujoco Binary Model Loading
- Principle:Lucidrains X transformers Transformer As MLP
- Principle:Lakeraai Pint benchmark Dataset Preparation
- Principle:LaurentMazare Tch rs Transposed Convolution
- Principle:Openai Evals Solver Output Postprocessing
- Principle:Farama Foundation Gymnasium Passive Environment Validation
- Principle:Intel Ipex llm Pipeline Parallel Init
- Principle:Microsoft Agent framework Workflow Result Processing
- Principle:Spotify Luigi External Process Execution
- Principle:Farama Foundation Gymnasium MuJoCo Locomotion
Implementations
- Implementation:Google deepmind Mujoco USD Tokens
- Implementation:ArroyoSystems Arroyo Proto Schema Converter
- Implementation:LMCache LMCache Periodic Thread
- Implementation:NVIDIA TransformerEngine Debug Fake Quant
- Implementation:LMCache LMCache MP Cache Engine
- Implementation:Openai Openai python Realtime Server Events
- Implementation:Zai org CogVideo Upscale Utils
- Implementation:Microsoft LoRA Run TF Text Classification
- Implementation:Run llama Llama index MultiModalRetriever
- Implementation:Unstructured IO Unstructured Measure Execution Time
Heuristics
- Heuristic:TobikoData Sqlmesh Model Change Categorization
- Heuristic:Huggingface Datasets Parquet Shard Sizing
- Heuristic:Obss Sahi Warning Deprecated Legacy NMS
- Heuristic:Iamhankai Forest of Thought UCB Exploration Constant
- Heuristic:Google research Deduplicate text datasets Ulimit File Descriptors For Merge
- Heuristic:Evidentlyai Evidently Drift Detection Thresholds
- Heuristic:Princeton nlp Tree of thought llm Value Caching
- Heuristic:Iamhankai Forest of Thought Input Length Overflow Recovery
- Heuristic:Open compass VLMEvalKit WORLD SIZE Unset For Model Building
- Heuristic:Facebookresearch Audiocraft Gradient Balancing For Multi Loss
Environments
- Environment:Huggingface Diffusers Attention Backends
- Environment:Deepset ai Haystack GPU Device Environment
- Environment:Pola rs Polars Rust Build Environment
- Environment:OpenRLHF OpenRLHF vLLM Environment
- Environment:Vespa engine Vespa POSIX Mmap Log Control
- Environment:Anthropics Anthropic sdk python AWS Bedrock Environment
- Environment:Mlflow Mlflow Python Runtime Environment
- Environment:Cohere ai Cohere python Python SDK Runtime
- Environment:Microsoft Semantic kernel OpenAI API Environment
- Environment:Openai CLIP Python Dependencies