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An open-source project dedicated to build foundational large language model for natural science, mainly in physics, chemistry and material science.
stable diffusion webui colab
Stable Diffusion web UI
[NeurIPS 2024] Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
Systems project for photoluminescence spectrum analysis
LumiML is a Python library for analysis of time resolved measurements (currently time-resolved photoluminescence and transient absorption). Project webpage: https://lumiml.ethz.ch
李宏毅2021/2022/2023春季机器学习课程课件及作业
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
Machine Learning Research Project, generate various models and compare them, predict various materials. Focus on Hydrgeon Evolution Reaction Catalysts.
Crystal graph convolutional neural networks for predicting material properties.
Multi-layer perceptron model for photo-voltaic material properties prediction.
Predict materials properties using only the composition information!
Monthly-Electricity-forecast use GPR-RFr 某区域月电量预测，采用高斯过程回归、随机森林回归预测日电量，通过日电量累加的方式来获得月电量的预测
Gaussian Process Regression vs. Relevance Vector Machine.
Bayesian optimization using Gaussian Process regression (Python)
Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.
Implementation of the Gaussian Process Autoregressive Regression Model
Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative…
pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.
Gaussian Processes regression and classification implementations, as well as notebook for accompanying blog. Blog static site:
Scalable Gaussian Process Regression Networks
A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)