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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:Pyro ppl Pyro Bayesian Regression
- Workflow:Langchain ai Langchain Adding Partner Integration
- Workflow:Lucidrains X transformers Encoder Decoder Sequence to Sequence
- Workflow:Mbzuai oryx Awesome LLM Post training Awesome List Curation
- Workflow:CarperAI Trlx RLHF Dialogue Alignment
- Workflow:Microsoft Autogen Tool Augmented Agent
- Workflow:Roboflow Rf detr Custom Dataset Finetuning
- Workflow:Scikit learn Scikit learn Data Preprocessing Pipeline
- Workflow:MarketSquare Robotframework browser JavaScript Extension
- Workflow:Iterative Dvc Remote Data Sync
Principles
- Principle:Bigscience workshop Petals Autoregressive Generation
- Principle:Huggingface Trl GRPO Model Saving
- Principle:Pytorch Serve LLM Text Generation
- Principle:Zai org CogVideo Caption Generation
- Principle:Pytorch Serve IPEX Quantized Inference
- Principle:Ggml org Llama cpp SpeculativeDecoding
- Principle:Apache Kafka Topic Listing
- Principle:Ollama Ollama ModelArchitecture
- Principle:Romsto Speculative Decoding Ngram Assisted Speculative Decoding
- Principle:Sktime Pytorch forecasting Learning Rate Finding
Implementations
- Implementation:Nautechsystems Nautilus trader BacktestEngine Add Venue
- Implementation:Online ml River Imblearn RandomSampler
- Implementation:Apache Druid QueryParametersDialog
- Implementation:OpenHands OpenHands Business Router Pattern
- Implementation:NVIDIA TransformerEngine Core Tensor Impl
- Implementation:Ollama Ollama Llama Server
- Implementation:InternLM Lmdeploy Request
- Implementation:Treeverse LakeFS Java SDK Model AccessKeyCredentials
- Implementation:Huggingface Transformers AutoModelForCausalLM From Pretrained For PEFT
- Implementation:Haosulab ManiSkill AllegroHand
Heuristics
- Heuristic:Deepset ai Haystack Document Splitting Defaults
- Heuristic:Avhz RustQuant Learning Rate Tuning
- Heuristic:Microsoft Onnxruntime Graph Optimization Level Selection
- Heuristic:Tencent Ncnn FP16 Precision Selection
- Heuristic:ClickHouse ClickHouse Jemalloc Production Requirement
- Heuristic:InternLM Lmdeploy KV Quantization Tradeoffs
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Image Size Multiple of Four
- Heuristic:Turboderp org Exllamav2 Dynamic Generator Tuning
- Heuristic:BerriAI Litellm Cooldown Threshold Tuning
- Heuristic:Hiyouga LLaMA Factory CUDA Memory Optimization
Environments
- Environment:Unstructured IO Unstructured Ingest CLI
- Environment:Vllm project Vllm NVIDIA CUDA
- Environment:Sgl project Sglang Python Dependencies
- Environment:CARLA simulator Carla Simulation Runtime
- Environment:Apache Druid Druid Operator Kubernetes
- Environment:Vibrantlabsai Ragas Optional NLP Metrics Environment
- Environment:Unslothai Unsloth CUDA VLLM
- Environment:Haifengl Smile Quarkus Serve Environment
- Environment:Lm sys FastChat LoRA QLoRA Training Environment
- Environment:Bigscience workshop Petals Python Hivemind