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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:Turboderp org Exllamav2 Interactive Chat
- Workflow:ClickHouse ClickHouse Packaging For Distribution
- Workflow:Allenai Open instruct GRPO Reinforcement Learning
- Workflow:Volcengine Verl PPO Training With Reward Model
- Workflow:DevExpress Testcafe CLI Test Execution
- Workflow:Princeton nlp SimPO SimPO Training
- Workflow:SeldonIO Seldon core HuggingFace Model Serving
- Workflow:CrewAIInc CrewAI Custom Tool Integration
- Workflow:Datahub project Datahub Python Metadata Emission
- Workflow:PacktPublishing LLM Engineers Handbook LLM Finetuning
Principles
- Principle:Farama Foundation Gymnasium Asynchronous Vector Execution
- Principle:Arize ai Phoenix OTel Dependency Setup
- Principle:ChenghaoMou Text dedup SimHash Fingerprinting
- Principle:Google deepmind Mujoco Model Loading
- Principle:Huggingface Trl GRPO Model Saving
- Principle:Pyro ppl Pyro Bayesian Module Integration
- Principle:Marker Inc Korea AutoRAG Strategy Selection
- Principle:Ggml org Llama cpp Embedding Normalization
- Principle:Roboflow Rf detr ONNX Export Dependencies
- Principle:Nautechsystems Nautilus trader Historical Data Wrangling
Implementations
- Implementation:Microsoft LoRA Legacy Run Language Modeling
- Implementation:Microsoft Playwright FrameDispatcher
- Implementation:Infiniflow Ragflow UseMcpRequest Hooks
- Implementation:Evidentlyai Evidently Legacy JSON Match Feature
- Implementation:Ollama Ollama Imagegen Manifest Weights
- Implementation:Openai Evals FewShotSolver
- Implementation:NVIDIA TransformerEngine CUDA Graph
- Implementation:Langgenius Dify FetchWorkflowDraft
- Implementation:Langfuse Langfuse ScheduleObservationEvals
- Implementation:Truera Trulens Session Get Leaderboard
Heuristics
- Heuristic:Recommenders team Recommenders SAR Cold Start Items
- Heuristic:Microsoft DeepSpeedExamples RLHF Stability Constraints
- Heuristic:Hpcaitech ColossalAI Warmup Steps Heuristic
- Heuristic:Lance format Lance Warning Deprecated Legacy Encodings
- Heuristic:Ollama Ollama Sampling Numerical Stability
- Heuristic:Mlfoundations Open flamingo FSDP Manual Wrapping For Mixed Parameters
- Heuristic:Risingwavelabs Risingwave Source Backoff Strategy
- Heuristic:Princeton nlp Tree of thought llm API Request Batching
- Heuristic:Haotian liu LLaVA Gradient Checkpointing Memory Optimization
- Heuristic:Tensorflow Tfjs GPU Pipeline Data Residency
Environments
- Environment:Risingwavelabs Risingwave Rust Build Environment
- Environment:Sgl project Sglang CPU
- Environment:Pyro ppl Pyro Distributed Training
- Environment:Sgl project Sglang Multi Platform Accelerators
- Environment:Microsoft Autogen Extension Optional Dependencies
- Environment:Volcengine Verl vLLM Rollout Environment
- Environment:Heibaiying BigData Notes Flink 1 9 Environment
- Environment:ARISE Initiative Robosuite MuJoCo Python
- Environment:Tensorflow Serving Kubernetes Deployment Environment
- Environment:Duckdb Duckdb Code Formatting Tools