Pinned Repositories
2018_subeesh_epsr_eccvw
Project page of the paper 'Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network' (ECCVW 2018)
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
brucejunlee.github.io
deepxde
Deep learning library for solving differential equations
Learning_Julia
LintCode_Problems_Solutions
RMT_Theory_Applications
some important properties on random matrix theory and its applications in multiple areas
Scientific_Computing
Simple_GANs
brucejunlee's Repositories
brucejunlee/deepxde
Deep learning library for solving differential equations
brucejunlee/Scientific_Computing
brucejunlee/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
brucejunlee/Learning_Julia
brucejunlee/Simple_GANs
brucejunlee/compare_gan
Compare GAN code.
brucejunlee/csinva.github.io
Slides, paper notes, class notes, blog posts, and research on machine learning, statistics, and artificial intelligence.
brucejunlee/data-driven-discretization-1d
Code for "Learning data-driven discretizations for partial differential equations"
brucejunlee/data-driven-pdes
brucejunlee/deeplearning-models
A collection of various deep learning architectures, models, and tips
brucejunlee/DeepRitzMethod
QMC sampling for deep ritz method
brucejunlee/DiffEqFlux.jl
DifferentialEquations.jl + Flux.jl = Neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers
brucejunlee/gans-awesome-applications
Curated list of awesome GAN applications and demo
brucejunlee/Keras-GAN
Keras implementations of Generative Adversarial Networks.
brucejunlee/L2D-learning-to-discretize-solving-1d-scalar-conservation-laws-via-deep-reinforcement-learning-
source code of learning to discretize solving 1d scalar conservation laws via deep reinforcement learning
brucejunlee/machine-learning-course
:speech_balloon: Machine Learning Course with Python. Refer to the course page for step-by-step explanations.
brucejunlee/MFGnet.jl
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
brucejunlee/MIM_boundary_condition
brucejunlee/mindspore
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
brucejunlee/MUNIT
Multimodal Unsupervised Image-to-Image Translation
brucejunlee/NeuralNetDiffEq.jl
Solves ordinary differential equations and partial differential equations using neural nets
brucejunlee/numpy-ml
Machine learning, in numpy
brucejunlee/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
brucejunlee/srgan
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
brucejunlee/StackGAN
brucejunlee/stylegan
StyleGAN - Official TensorFlow Implementation
brucejunlee/suggested-notation-for-machine-learning
This introduces a suggestion of mathematical notation protocol for machine learning.
brucejunlee/UnboundedNeRFPytorch
1. State-of-the-art, simple, fast unbounded / large-scale NeRFs. 2. Weekly classified NeRF literature.
brucejunlee/UNet-family
Paper and implementation of UNet-related model.
brucejunlee/wavetorch
🌊 Numerically solving and backpropagating through the wave equation