Learn OpenCV : C++ and Python Examples

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

A collection of various deep learning architectures, models, and tips

PRML algorithms implemented in Python

PyTorch tutorials.

Notebooks for learning deep learning

The 3rd edition of course.fast.ai

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

A collection of IPython notebooks covering various topics.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

Google Colaboratory Notebooks and Repositories (by @firmai)

Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Resources of semantic segmantation based on Deep Learning model

Some Python Implementations of the Kalman Filter

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

Describe past Kaggle solutions

Machine learning notebooks in different subjects optimized to run in google collaboratory

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

Classification of Breast Cancer diagnosis Using Support Vector Machines

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

COGS118C [Neural Signal Processing] @ UCSanDiego

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

This repository is the source code for examples and illustrations discussed in the book - A Simple Introduction to Retrieval Augmented Generation

Colabs for ML Day Tokyo

stanford cs231n 2016 assignment

YOLOv2 trained against custom dataset

This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".