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

A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)

Generate image from text with Generative Adversarial Network

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

TensorFlow Implementation of state-of-the-art models since 2012

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

Char-RNN implemented using TensorFlow.

Implementation of Conditional Generative Adversarial Networks in PyTorch

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Generative Adversarial Networks in TensorFlow 2.0

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

speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN

parsing scene images with understanding geometric perspective in the loop

An Algorithm to Quantify Robustness of Recurrent Neural Networks

由淺入深的深度學習資源 Collection of deep learning materials for everyone

PSPNet in Chainer

[TPAMI Under Submission] Generative Multi-Label Zero-Shot Learning

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

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

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.

RNN benchmarks of pytorch, tensorflow and theano

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

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

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 contains the code for a conference paper "Predicting the football match winner using LSTM model of Recurrent Neural Networks" that we wrote

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

Assessing Generative Models via Precision and Recall (official repository)

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

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

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

Codes and Templates from the SuperDataScience Course

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

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

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

NLP tutorial

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

Sentiment Analysis LSTM recurrent neural network's.

Solve captcha without manually labeling a training set

TensorFlow Implementation of Twitter Chatbot

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

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

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

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

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

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

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

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

This repo provides projects on deep-learning mainly using Tensorflow 2.0

A Python-Tensorflow neural network for classifying cancer data

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

RNN-based generative models for speech.

Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.

Deep Learning using Rectified Linear Units (ReLU)

Kaggle | Web Traffic Forecasting 📈

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace