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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:Ucbepic Docetl Long Document Chunking
- Workflow:Eventual Inc Daft SQL Query Analytics
- Workflow:Infiniflow Ragflow Chat Application Setup
- Workflow:Infiniflow Ragflow Docker Deployment
- Workflow:NVIDIA NeMo Aligner Reward Model Training
- Workflow:Liu00222 Open Prompt Injection Prompt Injection Experiment
- Workflow:Volcengine Verl PPO Training With Reward Model
- Workflow:Alibaba ROLL Agentic RL Training Pipeline
- Workflow:Puppeteer Puppeteer Browser Installation And Management
- Workflow:SqueezeAILab ETS ETS Experiment Pipeline
Principles
- Principle:EvolvingLMMs Lab Lmms eval Metric Aggregation
- Principle:Scikit learn Scikit learn Ranking Metrics
- Principle:Open compass VLMEvalKit Model Registration
- Principle:Anthropics Anthropic sdk python Parsed Output Access
- Principle:Pyro ppl Pyro Tensor Variable Elimination
- Principle:Duckdb Duckdb Extension Build And Metadata
- Principle:Cohere ai Cohere python Rerank Response Processing
- Principle:Groq Groq python API Error Response Structure
- Principle:Google deepmind Dm control Task Registry Discovery
- Principle:Alibaba ROLL Qwen3 Omni Multimodal Model
Implementations
- Implementation:Farama Foundation Gymnasium StickyAction
- Implementation:Apache Dolphinscheduler RpcService Annotation
- Implementation:NVIDIA TransformerEngine Activation C API
- Implementation:Google deepmind Mujoco USD Layer Sink
- Implementation:Langfuse Langfuse FetchLLMCompletion Eval
- Implementation:Isaac sim IsaacGymEnvs Factory Control Algorithms
- Implementation:NVIDIA NeMo Curator FastText Filters
- Implementation:Vllm project Vllm LLM Generate
- Implementation:Sgl project Sglang Spatial Partitioning
- Implementation:LMCache LMCache Memory Bloom Filter Strategy
Heuristics
- Heuristic:Fastai Fastbook Dropout Regularization
- Heuristic:DataTalksClub Data engineering zoomcamp Dbt Materialization Strategy
- Heuristic:Eric mitchell Direct preference optimization RMSprop Over Adam
- Heuristic:NVIDIA NeMo Aligner PPO Critic Warmup Tip
- Heuristic:Run llama Llama index Chunk Size Optimization
- Heuristic:Intel Ipex llm QLoRA Training Hyperparameters
- Heuristic:Sail sg LongSpec NCCL Distributed Settings
- Heuristic:CARLA simulator Carla Behavior Agent Profiles
- Heuristic:ContextualAI HALOs Online Round Budgeting
- Heuristic:Haosulab ManiSkill Num Envs Backend Selection
Environments
- Environment:Evidentlyai Evidently Grafana Monitoring Environment
- Environment:Openai Whisper PyTorch CUDA
- Environment:Lm sys FastChat LoRA QLoRA Training Environment
- Environment:Openai CLIP PyTorch CUDA Runtime
- Environment:Huggingface Alignment handbook DeepSpeed Multi Node
- Environment:Evidentlyai Evidently LLM Evaluation Environment
- Environment:ThreeSR Awesome Inference Time Scaling Python Runtime Environment
- Environment:Kserve Kserve Leader Worker Set
- Environment:Huggingface Datasets SQL Dependencies
- Environment:Anthropics Anthropic sdk python GCP Vertex Environment