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Python based GUI-Program for integration and exploration of 2D x-ray diffraction images.
Automatic-Differentiation-Enabled Plasma Transport in JAX
A Python implementation of global optimization with gaussian processes.
Tutorial notebooks for hls4ml
Adaptive MCMC and CMA-ES Python code
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Natural Gradient Boosting for Probabilistic Prediction
An implementation of Automatic Differentiation in Python
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Efficiently computes derivatives of NumPy code.
An easy to use, easy to extend python framework for OSIRIS hdf5 data analysis and visualization
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Standard input format for Particle-In-Cell codes
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
DALL·E Mini - Generate images from a text prompt
Simulation for propagating ultrashort laser pulses in freespace or in a gas-filled capillary
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
machine learning and deep learning tutorials, articles and other resources
A curated list of awesome Machine Learning frameworks, libraries and software.
USPAS course on optimization and machine learning
Visualization of latent spaces learned by a VAE on different data sets. Implementation of VAE is in TensorFlow.
Several python examples using xgboost
Course notes for NTU Physics, in Jupyter and LaTeX format
pytorch tutorial for beginners