thgngu Goto Github PK
Name: thgngu
Type: User
Bio: Computer-aided engineering (CAE) tools
thgngu's Projects
100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
a-collection-of-important-tasks-in-pytorch
Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!
acml2016_bnmc
Source code for Bayesian Nonparametric Multi-label Classification ACML 2016
ael
User-defined functions for ADS
animatedpythonpatterns
Animated GIF patterns made in Python Matplotlib.
astroabc
Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
autoencoders
Torch implementations of various types of autoencoders
awesome-deep-learning-papers
The most cited deep learning papers
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome_time_series_in_python
This curated list contains python packages for time series analysis
bayesianoptimization
A Python implementation of global optimization with gaussian processes.
bayesmadesimple
Code for a tutorial on Bayesian Statistics by Allen Downey.
brune_python
Brune network synthesis in python
cclabel
Python implementation of connected component labeling
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
chuacircuit
A documentation of the collaboration between Brenda So and Cory Nezin on the analysis of Chua's circuit in Physics Simulations PH235
circuit-simulator
An interactive electronic circuit simulator
clock-recovery
clock recovery experiments
cmicot
Efficient feature selection method based on Conditional Mutual Information.
compstats
Code for a workshop on statistical interference using computational methods in Python.
coursera
✅ Solutions to MachineLearning, DeepLearning, NeuralNetwork
cs498machinelearning
Spring 2016 CS 498 Applied Machine Learning Homework Code (under Forsyth)
cudnn.torch
Torch-7 FFI bindings for NVIDIA CuDNN
cvxpy
A Python-embedded modeling language for convex optimization problems.
cyclegan
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
dae
Solver for differential algebraic equations
dcgan.torch
A torch implementation of http://arxiv.org/abs/1511.06434
deep-compression-pytorch
PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally
deep-learning-boot-camp
A community run, 5-day PyTorch Deep Learning Bootcamp
deep-learning-examples-using-tensorflow
This repository contains Deep Learning examples using Tensorflow. This repository will be useful for Deep Learning starters who find difficulty in understanding the example codes.
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