SamPlvs

Object-detection-via-HOG-SVM

This is an application of Object detection using Histogram of Oriented Gradients (HOG) as features and Support Vector Machines (SVM) as the classifier. Implemented in python, the following libraries are requires

DL-for-forecasting

In this project, I use Deep Learning, namely a RNN made of LSTM units to predict the bitcoin market price based on 5 input features

AutoDeeplab

Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

Fast-Transformer

An implementation of Fastformer: Additive Attention Can Be All You Need in TensorFlow

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

LOGO_Python

This is a sample code for recreation of an old programming language called Logo used to educate children about programming by co

lucid

A collection of infrastructure and tools for research in neural network interpretability.

MonoDepth-PyTorch

Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch

monodepth2

[ICCV 2019] Monocular depth estimation from a single image

PythonRobotics

Python sample codes for robotics algorithms.

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

PyTorch-Tutorial

Build your neural network easy and fast, 莫烦Python中文教学

reinforcement_learning_pytorch

some basic implementations of algorithms in reinforcement learning in pytorch.

rlbolt

Implementation of multiple deep reinforcement learning algorithms in PyTorch Lightning

SamPlvs

sandbox_msc

A code to be quickly tested, and some instructions

TensorFlow-Keras-Numpy-Pandas-Tutorial

Just a basic tutorial of keras and tensorflow for understanding syntax