1010 Open source projects that are alternatives of or similar to Deep Learning For Beginners

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

parsing scene images with understanding geometric perspective in the loop

PSPNet in Chainer

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

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

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

This repository is for my article "Tutorial: Build a lane detector" published on Medium.

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

Generating Videos with Scene Dynamics. NIPS 2016.

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Solve captcha without manually labeling a training set

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399

Convolutional Neural Network for 3D meshes in PyTorch

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

Draw multi-layer neural network in your browser

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

A brand logo detection system using tensorflow object detection API.

name entity recognition with recurrent neural network(RNN) in tensorflow

Convolutional Neural Network for Human Activity Recognition in Tensorflow

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Application of machine learning to the Coinbase (GDAX) orderbook

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

Keras tutorial for beginners (using TF backend)

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

White Blood Cell Image Segmentation Using Deep Convolution Neural Networks

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

Cifar-10 CNN implementation using TensorFlow library with 20% error.

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

all kinds of text classification models and more with deep learning

Face landmarks(fiducial points) detection benchmark

Pytorch Implementation of "Deep Iterative Down-Up CNN for Image Denoising".

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Training a MNIST classifier, and use it to compute inception score (ICP)

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Generating Captions for images using Deep Learning

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

Fine-tune pretrained Convolutional Neural Networks with PyTorch

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.