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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:Huggingface Diffusers LoRA Finetuning
- Workflow:Googleapis Python genai Text Content Generation
- Workflow:Confident ai Deepeval Synthetic Dataset Generation
- Workflow:Volcengine Verl Data Preprocessing For RL
- Workflow:Lakeraai Pint benchmark Custom System Evaluation
- Workflow:Openai Openai python Fine Tuning Job Management
- Workflow:Haotian liu LLaVA Benchmark Evaluation
- Workflow:ArroyoSystems Arroyo Checkpoint Recovery
- Workflow:LLMBook zh LLMBook zh github io LoRA Finetuning
- Workflow:OpenGVLab InternVL Benchmark Evaluation
Principles
- Principle:Facebookresearch Audiocraft Flow Matching Generation
- Principle:FlowiseAI Flowise Chat Prediction
- Principle:Pyro ppl Pyro Coalescent Process
- Principle:Triton inference server Server Generate API
- Principle:Pyro ppl Pyro Statistical Diagnostics
- Principle:ClickHouse ClickHouse IEEE754 Float Decomposition
- Principle:DataExpert io Data engineer handbook Graph Vertex Generation
- Principle:ChenghaoMou Text dedup Substring Deduplication
- Principle:AUTOMATIC1111 Stable diffusion webui Options Architecture
- Principle:Deepspeedai DeepSpeed Reward Model Training
Implementations
- Implementation:Deepspeedai DeepSpeed XPU Accelerator
- Implementation:Fastai Fastbook Cnn Learner
- Implementation:Kserve Kserve MNIST CNN Net
- Implementation:Getgauge Taiko Clear
- Implementation:FlagOpen FlagEmbedding Compute Metrics QA Recall
- Implementation:Facebookresearch Audiocraft MusicGen prepare tokens and attributes
- Implementation:Cleanlab Cleanlab Get Label Quality Multiannotator
- Implementation:DataTalksClub Data engineering zoomcamp Java JsonProducer
- Implementation:Evidentlyai Evidently Column Metric Generator
- Implementation:Interpretml Interpret DataSetInteraction Hpp
Heuristics
- Heuristic:Turboderp org Exllamav2 Quantization Conversion Tips
- Heuristic:Evidentlyai Evidently Column Type Inference Rules
- Heuristic:DistrictDataLabs Yellowbrick Matplotlib rcParams Management
- Heuristic:Allenai Open instruct GPU Memory Utilization
- Heuristic:DevExpress Testcafe Assertion Retry Timing
- Heuristic:Danijar Dreamerv3 Symlog TwoHot Prediction
- Heuristic:Facebookresearch Audiocraft Audio Normalization Strategies
- Heuristic:Intel Ipex llm Llama Padding Token Workaround
- Heuristic:Wandb Weave Retry And Error Handling
- Heuristic:Allenai Open instruct Polyak Reference Update
Environments
- Environment:Unstructured IO Unstructured All Docs
- Environment:Tencent Ncnn PyTorch Environment
- Environment:Wandb Weave LLM Integration Dependencies
- Environment:Sgl project Sglang Prometheus
- Environment:Datahub project Datahub Java 17 Backend Environment
- Environment:ClickHouse ClickHouse OpenSSL Runtime
- Environment:Vllm project Vllm Benchmarks
- Environment:Huggingface Peft Optional Quantization Backends
- Environment:Ggml org Ggml C Cpp Build Environment
- Environment:Volcengine Verl Megatron Core Environment