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auto-ed

A web based tool for visualization of the forward and reverse modes of automatic differentiation

autocolorize

Automatic colorizaton of grayscale images using Deep Learning

autograd_pytorch

Building your own autograd mechanism based on PyTorch tensor only (not Variable, can be seen as numpy array)

bier

Cleaned up reference implementation of BIER: Boosting Independent Embeddings Robustly.

cmake-project-template

This project is aimed at jump-starting a C/C++ project that can build libraries, binaries and have a working unit test suite. It uses CMake build system and is deliberately completely minimal.

cnnmrf

code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"

columbiaimagesearch

Columbia Image and Face Search tool for MEMEX

compair

Model evaluation utilities

convolutionalrbm.m

A MATLAB / MEX / CUDA-MEX implementation of Convolutional Restricted Boltzmann Machines.

deeplearning-models

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

distilling_intractable_generative_models

Code for paper "Distilling Intractable Generative Models".

fastmri

A large-scale dataset of both raw MRI measurements and clinical MRI images.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hadoopinternals

Diagrams describing Apache Hadoop internals (2.3.0 or later).

hdfs-internals

Document Containing Hadoop HDFS File System internal details

iaf

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

installing-cuda-toolkit-cudnn-opencv-and-pytorch-on-ubuntu-20.04

Detailed Installation procedure of CUDA, cuDNN, OpenCv and PyTorch for Machine and Deep Learning Tasks

interpretablecnn

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

machine_learning

Summary of Machine Learning: A Probabilistic Perspective book

megatron3000

Volume renderer made with Qt5, C++ and OpenGL

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

moderncppstarter

nricp

Matlab implementation of non-rigid iterative closest point

openai-cartpole

random search, hill climbing, policy gradient

pytorch-convolutonalrbm

Convolutional RBM implemented with Pytorch

red-wgan

rfnn

Structured Receptive Fields in Convolutional Neural Networks

scalismo

Scalable Image Analysis and Shape Modelling

srgan-lightning-blog

Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App