thgngu's repositories
PyTorch.jl
PyTorch wrapper
sigint-python
Signal Integrity related python classes and methods
100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
reinforcement-learning-an-introduction
Python implementation of Reinforcement Learning: An Introduction
seq2seq-signal-prediction
Signal prediction with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
coursera
✅ Solutions to MachineLearning, DeepLearning, NeuralNetwork
smith-chart
Smith Chart
LeNet-5
PyTorch implementation of LeNet-5 with live visualization
mifs
Parallelized Mutual Information based Feature Selection module.
pytorch-qrnn
PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM
AEL
User-defined functions for ADS
neural_decomposition
Neural Decomposition Code for Time Series
pydlt
PyTorch based Deep Learning Toolbox
pytorch-zssr
PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning
sequence_generation_pytorch
This is an attempt to familiarize myself with PyTorch. In this example, the target to generate a sequence of continuous data (sine waves or mix of them) using LSTM
thundersvm
ThunderSVM: A Fast SVM Library on GPUs and CPUs
PythonMachineLearning
Practice notebooks for NumPy, Pandas, matplotlib, basic machine learning etc.
Deep-Learning-Boot-Camp
A community run, 5-day PyTorch Deep Learning Bootcamp
imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
pytorch-generative-model-collections
Collection of generative models in Pytorch version.
DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
tensorboard-pytorch
tensorboard for pytorch
understanding-pytorch-batching-lstm
Understanding and visualizing PyTorch Batching with LSTM
DNI-tensorflow
DNI (Decoupled Neural Interfaces using Synthetic Gradients) Implementation with Tensorflow.
dni.pytorch
Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch
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!
Self-Driving-Car-3D-Simulator-With-CNN
Implementing a self driving car using a 3D Driving Simulator. CNN will be used for training
deepschool.io
Deep Learning tutorials in jupyter notebooks.
varpro2-jl
A Julia implementation of the classic varpro2 algorithm with some initial DMD examples