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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:Huggingface Trl GRPO Training
- Workflow:Mlfoundations Open flamingo Model Creation And Inference
- Workflow:NVIDIA TransformerEngine Accelerate HF Llama With TE
- Workflow:InternLM Lmdeploy W4A16 AWQ Quantization
- Workflow:LLMBook zh LLMBook zh github io Supervised Finetuning
- Workflow:SeleniumHQ Selenium Browser Session Setup
- Workflow:Princeton nlp SimPO On Policy Data Generation
- Workflow:Marker Inc Korea AutoRAG Data Creation Pipeline
- Workflow:Haifengl Smile Matrix Decomposition Pipeline
- Workflow:Cohere ai Cohere python AWS Bedrock Deployment
Principles
- Principle:Intel Ipex llm DPO Data Preparation
- Principle:FlagOpen FlagEmbedding Matryoshka Reranking
- Principle:Lance format Lance Version Cleanup
- Principle:AUTOMATIC1111 Stable diffusion webui Responsive Layout
- Principle:Unslothai Unsloth Project Configuration
- Principle:Deepseek ai Janus Input Tokenization and Batching
- Principle:Confident ai Deepeval Assertion Based Evaluation
- Principle:Openai Whisper Language Detection
- Principle:Bigscience workshop Petals Model Evaluation
- Principle:DistrictDataLabs Yellowbrick Scatter Feature Visualization
Implementations
- Implementation:AUTOMATIC1111 Stable diffusion webui Config States
- Implementation:Mit han lab Llm awq Pseudo quantize model weight
- Implementation:Microsoft Onnxruntime WindowsAI NuGet Pipeline
- Implementation:Ggml org Ggml Ggml gallocr alloc graph
- Implementation:Facebookresearch Habitat lab XRInput
- Implementation:NVIDIA NeMo Curator Base DocumentExtractor
- Implementation:Vllm project Vllm EngineArgs Init
- Implementation:Predibase Lorax Metadata Kernels
- Implementation:Elevenlabs Elevenlabs python PrivacyConfig
- Implementation:DevExpress Testcafe Compiler GetTests
Heuristics
- Heuristic:Snorkel team Snorkel LabelModel Mu Eps Clamping
- Heuristic:Apache Hudi Write Memory Tuning
- Heuristic:Openai Openai python Timeout Connection Defaults
- Heuristic:Fastai Fastbook Discriminative Learning Rates
- Heuristic:Marker Inc Korea AutoRAG Hybrid Retrieval Score Normalization
- Heuristic:ChenghaoMou Text dedup SimHash Optimization Ceiling
- Heuristic:Arize ai Phoenix Warning Deprecated VertexAIModel
- Heuristic:Apache Airflow DAG Top Level Code Avoidance
- Heuristic:Eventual Inc Daft Delta Lake S3 Locking
- Heuristic:Sail sg LongSpec TF32 And FP16 Training
Environments
- Environment:Infiniflow Ragflow Docker Infrastructure
- Environment:Huggingface Datasets JAX Integration
- Environment:Huggingface Peft Python Core Dependencies
- Environment:Openai Evals OpenAI API Configuration
- Environment:Kubeflow Kubeflow Git GitHub Environment
- Environment:Huggingface Optimum Tensor Parallelization Environment
- Environment:Getgauge Taiko Linux System Libraries
- Environment:Openai Evals Python Runtime
- Environment:Mlc ai Web llm WebGPU Browser Runtime
- Environment:Alibaba MNN GPU Metal Environment