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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:Mlflow Mlflow Model Serving
- Workflow:Haifengl Smile Nearest Neighbor Search
- Workflow:AUTOMATIC1111 Stable diffusion webui Image to image generation
- Workflow:Huggingface Open r1 Dataset Pass Rate Filtering
- Workflow:Datajuicer Data juicer Distributed Ray Processing
- Workflow:Axolotl ai cloud Axolotl Multimodal Vision Finetuning
- Workflow:Volcengine Verl GRPO Training Pipeline
- Workflow:PeterL1n BackgroundMattingV2 Model export
- Workflow:Tencent Ncnn Object Detection Inference
- Workflow:Google research Deduplicate text datasets Cross dataset deduplication
Principles
- Principle:Ggml org Llama cpp OpenAI API Endpoints
- Principle:Huggingface Datasets PDF Feature Handling
- Principle:Pola rs Polars Query Plan Inspection
- Principle:Bigscience workshop Petals Distributed Model Loading
- Principle:NVIDIA DALI File Reading
- Principle:Run llama Llama index Batch Evaluation Setup
- Principle:MaterializeInc Materialize Workload Replay
- Principle:Mage ai Mage ai SQL Schema Discovery
- Principle:Huggingface Alignment handbook Config Parsing
- Principle:Farama Foundation Gymnasium MuJoCo Locomotion
Implementations
- Implementation:MarketSquare Robotframework browser New Context For API
- Implementation:Interpretml Interpret SPOTgreedy
- Implementation:Huggingface Trl GRPOTrainer Init
- Implementation:Facebookresearch Habitat lab EqaCnnPretrainDataset
- Implementation:Arize ai Phoenix Evaluation DataFrame Schema
- Implementation:Alibaba ROLL Adapter Utils
- Implementation:Google deepmind Mujoco MJWarp Init
- Implementation:Interpretml Interpret Clean Dimensions
- Implementation:Microsoft DeepSpeedExamples PreLN Bert LayerDrop Modeling
- Implementation:Ggml org Llama cpp Regex Partial Header
Heuristics
- Heuristic:Groq Groq python Retry Backoff Strategy
- Heuristic:Huggingface Peft LoRA Default Configuration
- Heuristic:Lucidrains X transformers Sampling Temperature Strategy
- Heuristic:Pola rs Polars Lazy Over Eager Preference
- Heuristic:Langchain ai Langchain Deprecation Version Tracking
- Heuristic:OpenBMB UltraFeedback API Retry Strategy
- Heuristic:NVIDIA NeMo Aligner PPO Critic Warmup Tip
- Heuristic:Treeverse LakeFS Retry Backoff Configuration
- Heuristic:Unstructured IO Unstructured Chunk Size Tuning
- Heuristic:Predibase Lorax LoRA Kernel Selection By Rank
Environments
- Environment:Confident ai Deepeval Python 3 9 Runtime
- Environment:Cypress io Cypress Linux Display Server
- Environment:Vllm project Vllm Python Dependencies
- Environment:EvolvingLMMs Lab Lmms eval Python Runtime Environment
- Environment:Bitsandbytes foundation Bitsandbytes XPU SYCL Runtime
- Environment:Ggml org Ggml Vulkan GPU Environment
- Environment:Vllm project Vllm Buildkite
- Environment:Fastai Fastbook CUDA GPU Environment
- Environment:ChenghaoMou Text dedup Python 3 12 Environment
- Environment:ThreeSR Awesome Inference Time Scaling Python Runtime Environment