Nathanael L. Baisa's repositories
pytorch-generative-adversarial-networks
A very simple generative adversarial network (GAN) in PyTorch
d2l-en
An interactive deep learning book with code, math, and discussions.
BellmanFord-ShortestPath
This implements Bellman-Ford's shortest path algorithm.
torch2trt
An easy to use PyTorch to TensorRT converter
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
deep-person-reid
Torchreid: Deep learning person re-identification in PyTorch.
pycls
Codebase for Image Classification Research, written in PyTorch.
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
learnopencv
Learn OpenCV : C++ and Python Examples
AB3DMOT
Official Python Implementation for "A Baseline for 3D Multi-Object Tracking", In Submission
py-motmetrics
:bar_chart: Benchmark multiple object trackers (MOT) in Python
Facial-Expression-Recognition.Pytorch
A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset
Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
Efficient-PyTorch
My best practice of training large dataset using PyTorch.
data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.
few-shot
Repository for few-shot learning machine learning projects
netron
Visualizer for neural network, deep learning and machine learning models
awesome-deep-vision
A curated list of deep learning resources for computer vision
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
librealsense
Intel® RealSense™ SDK
zhusuan
A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow
Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
unet
unet for image segmentation