brycewang-stanford/Auto-Empirical-Research-Skills - Page 18

streamline-analyst-guide

End-to-end data analysis AI agent with Streamlit UI

survey-data-processing

Clean, recode, and prepare survey response data for analysis

text-mining-guide

Apply NLP and text mining techniques to research text data

ai-agent-papers-guide

Curated 2024-2026 AI agent research papers collection

ai-model-benchmarking

Benchmark AI models across 60+ academic evaluation suites and metrics

anomaly-detection-papers-guide

Industrial anomaly detection methods and benchmark papers

autonomous-agents-papers-guide

Daily-updated collection of autonomous AI agent papers

computer-vision-guide

Apply computer vision research methods, models, and evaluation tools

deep-learning-papers-guide

Annotated deep learning paper implementations with code walkthroughs

dl-transformer-finetune

Build transformer fine-tuning plans for classification and generation

domain-adaptation-papers-guide

Comprehensive collection of domain adaptation research papers

generative-ai-guide

Curated guide to generative AI covering LLMs and diffusion models

graph-learning-papers-guide

Conference papers on graph neural networks and graph learning

huggingface-api

Search and discover ML models, datasets, and Spaces on Hugging Face

huggingface-inference-guide

Run NLP and CV model inference via Hugging Face free-tier API

keras-deep-learning

Build and debug deep learning models with Keras and TensorFlow backend

kolmogorov-arnold-networks-guide

Papers and tutorials on KAN learnable activation networks

llm-evaluation-guide

Evaluate and benchmark large language models for research applications

llm-from-scratch-guide

Build a ChatGPT-like LLM from scratch using PyTorch step by step

ml-pipeline-guide

Build and deploy reproducible production ML pipelines for research

nlp-toolkit-guide

NLP analysis with perplexity scoring, burstiness, and entropy metrics

npcpy-research-guide

All-in-one Python library for NLP, agents, and knowledge graphs

prompt-engineering-research

Systematic prompt engineering methods for AI-assisted academic research workf...

pytorch-guide

Avoid common PyTorch mistakes and apply robust training patterns

pytorch-lightning-guide

PyTorch Lightning framework for scalable model training and research

reinforcement-learning-guide

Reinforcement learning fundamentals, algorithms, and research

responsible-ai-guide

Resources for trustworthy, fair, and ethical AI research

ai-ml-skills

27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows.

tensorflow-guide

TensorFlow best practices for tf.function, GPU memory, and deployment

transformer-architecture-guide

Guide to Transformer architectures for NLP and computer vision

vmas-simulator-guide

Vectorized multi-agent reinforcement learning simulator

alphafold-api

Query AlphaFold protein structure predictions by UniProt accession

bioagents-guide

AI scientist framework for autonomous biological research workflows

biothings-api

Query gene, variant, and drug annotations via BioThings APIs

clawbio-guide

OpenClaw bioinformatics skill library for genomics pipelines

clinical-dialogue-agents-guide

Papers on AI agents for clinical dialogue and medical QA

clinical-research-guide

Design clinical studies and report using CONSORT, STROBE guidelines

clinicaltrials-api

Clinical trial registry database search API

clinicaltrials-api-v2

Search and analyze clinical trials via the ClinicalTrials.gov v2 API

ena-sequence-api

Access nucleotide sequence data from the European Nucleotide Archive