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Xi'an Jiaotong University
- https://yiding00.github.io/
Stars
Unofficial Python client library for Semantic Scholar APIs.
Graphical modelling with time series data using an ODE model
股票行情实时数据接口-A股,完全免费的沪深证券股票数据-中国股市,python最简封装的API接口,包含日线,历史K线,分时线,分钟线,全部实时采集,系统包括新浪腾讯双数据核心采集获取,自动故障切换,STOCK数据格式成DataFrame格式,可用来查询研究量化分析,股票程序自动化交易系统.为量化研究者在数据获取方面极大地减轻工作量,更加专注于策略和模型的研究与实现。
TuShare is a utility for crawling historical data of China stocks
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Academic Paper finder, basic information reader, paper saver. All In One!
Blue topaz themes example vault for Obsidian
Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
BrainNet Viewer is a brain network visualization tool, which can help researchers to visualize structural and functional connectivity patterns from different levels in a quick, easy, and flexible way.
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Stable Diffusion web UI
A latent text-to-image diffusion model
Monkey-Q-UP / xtext
Forked from eclipse/xtextEclipse Xtext™ is a language development framework
A modularized repository for Spatio-Temporal Causal Learning under ADNI database.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
Neural relational inference for interacting systems - pytorch
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
A playbook for systematically maximizing the performance of deep learning models.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…