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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:Axolotl ai cloud Axolotl Full Finetuning Distributed
- Workflow:Heibaiying BigData Notes Hive Data Warehouse Operations
- Workflow:ArroyoSystems Arroyo Connection Setup
- Workflow:Alibaba ROLL Agentic RL Training Pipeline
- Workflow:Huggingface Trl GRPO Training
- Workflow:Langgenius Dify Docker Deployment
- Workflow:Neuml Txtai Semantic Search Pipeline
- Workflow:Vllm project Vllm Offline Text Generation
- Workflow:AUTOMATIC1111 Stable diffusion webui Checkpoint merging
- Workflow:Huggingface Datasets Dataset Loading and Exploration
Principles
- Principle:Princeton nlp Tree of thought llm Experiment Configuration
- Principle:Trailofbits Fickling Stacked Pickle Parsing
- Principle:Bigscience workshop Petals Data Preparation
- Principle:DistrictDataLabs Yellowbrick Silhouette Analysis
- Principle:Microsoft Onnxruntime Source Framework Training
- Principle:Online ml River Online Recommendation
- Principle:Mbzuai oryx Awesome LLM Post training Multi Sheet Excel Export
- Principle:Dagster io Dagster Declarative Automation
- Principle:Microsoft LoRA Low Rank Layer Replacement
- Principle:Mlfoundations Open flamingo Distributed Result Aggregation
Implementations
- Implementation:Run llama Llama index MultiModalLLM
- Implementation:LMCache LMCache Remote Backend Check
- Implementation:Ray project Ray Serve ReplicaConfig
- Implementation:Openai Openai node Browser Webpack Lockfile
- Implementation:Avhz RustQuant BlackDermanToy
- Implementation:Neuml Txtai WordVectors
- Implementation:Norrrrrrr lyn WAInjectBench LogisticRegression Fit
- Implementation:Openai Openai node Node CJS Auto Lockfile
- Implementation:Vibrantlabsai Ragas PydanticPrompt
- Implementation:Webdriverio Webdriverio BidiCore Class
Heuristics
- Heuristic:Farama Foundation Gymnasium Action Space Normalization Tip
- Heuristic:Microsoft Playwright Test Stability Practices
- Heuristic:LLMBook zh LLMBook zh github io LoRA Initialization Strategy
- Heuristic:Neuml Txtai Memory Streaming Optimization
- Heuristic:TA Lib Ta lib python NaN Propagation Behavior
- Heuristic:ClickHouse ClickHouse Jemalloc Production Requirement
- Heuristic:NVIDIA DALI NVJPEG Memory Preallocation
- Heuristic:Princeton nlp SimPO Multi Seed Diversity
- Heuristic:Lm sys FastChat Conversation Splitting Token Buffer
- Heuristic:LMCache LMCache Chunk Size And Default Config
Environments
- Environment:BerriAI Litellm Provider API Credentials
- Environment:OpenGVLab InternVL Flash Attention 2
- Environment:Tencent Ncnn Build Environment
- Environment:TA Lib Ta lib python Python Build Environment
- Environment:Volcengine Verl SGLang Rollout Environment
- Environment:Intel Ipex llm XPU Inference Environment
- Environment:Neuml Txtai Python Core Environment
- Environment:Open compass VLMEvalKit Data Storage Environment
- Environment:Apache Paimon Python Core Runtime
- Environment:Neuml Txtai Optional Extras Dependencies