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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:NVIDIA NeMo Aligner Supervised Fine Tuning
- Workflow:CARLA simulator Carla Sensor Data Collection
- Workflow:Huggingface Peft Seq2Seq AdaLoRA Finetuning
- Workflow:NVIDIA TransformerEngine Accelerate HF Gemma With TE
- Workflow:Apache Beam Local Pipeline Execution
- Workflow:Ucbepic Docetl Python API Pipeline
- Workflow:Isaac sim IsaacGymEnvs Custom Task Development
- Workflow:Lance format Lance Vector Search Pipeline
- Workflow:Openai Openai agents python Human In The Loop Approval
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pix2pix Training
Principles
- Principle:ClickHouse ClickHouse MIME Multipart Processing
- Principle:Predibase Lorax Runtime Adapter Merging
- Principle:Dagster io Dagster LLM Fine Tuning Orchestration
- Principle:Iterative Dvc Local Remote State Comparison
- Principle:Huggingface Datasets Dataset Metadata Configuration
- Principle:InternLM Lmdeploy Response Processing
- Principle:Mbzuai oryx Awesome LLM Post training Progressive Json Saving
- Principle:Ggml org Ggml Backend Initialization
- Principle:DataTalksClub Data engineering zoomcamp SQL Revenue Aggregation
- Principle:Ggml org Llama cpp Multimodal Model Acquisition
Implementations
- Implementation:Ggml org Llama cpp Common Unicode Header
- Implementation:Pyro ppl Pyro WelfordCovariance
- Implementation:DevExpress Testcafe BrowserClient CDP
- Implementation:AnswerDotAI RAGatouille RAGPretrainedModel From Pretrained
- Implementation:LMCache LMCache Memory Bloom Filter Strategy
- Implementation:Apache Paimon FunctionDefinition
- Implementation:BerriAI Litellm Vector Stores API
- Implementation:Google deepmind Mujoco USD Mujoco To USD
- Implementation:Kornia Kornia Bilateral Filter
- Implementation:Lance format Lance FsstEncoding
Heuristics
- Heuristic:Apache Dolphinscheduler Gzip Compression Threshold
- Heuristic:Gretelai Gretel synthetics Gumbel Softmax NaN Retry
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Identity Loss Color Preservation
- Heuristic:PeterL1n BackgroundMattingV2 Training Batch Size And Resolution
- Heuristic:LaurentMazare Tch rs Hidden Dimension Alignment
- Heuristic:PacktPublishing LLM Engineers Handbook Dataset Generation Quality Filters
- Heuristic:Gretelai Gretel synthetics Mixed Precision Training Tradeoff
- Heuristic:FMInference FlexLLMGen OOM Memory Management
- Heuristic:Tencent Ncnn Optimize Before Quantize
- Heuristic:OpenBMB UltraFeedback GPU Memory Utilization
Environments
- Environment:Facebookresearch Audiocraft Python PyTorch CUDA Environment
- Environment:Hiyouga LLaMA Factory Quantization Dependencies
- Environment:Apache Dolphinscheduler Java Runtime
- Environment:Vllm project Vllm CUDA Runtime
- Environment:Isaac sim IsaacGymEnvs IsaacGym Preview 4
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:Pytorch Serve Python PyTorch Runtime
- Environment:Haosulab ManiSkill Motion Planning Deps
- Environment:Protectai Modelscan TensorFlow Optional
- Environment:Guardrails ai Guardrails LLM Provider API Keys