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An opinionated list of awesome Python frameworks, libraries, software and resources.
All Algorithms implemented in Python
Models and examples built with TensorFlow
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A toolkit for developing and comparing reinforcement learning algorithms.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Magenta: Music and Art Generation with Machine Intelligence
A paper list of object detection using deep learning.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Deep learning library featuring a higher-level API for TensorFlow.
Keras code and weights files for popular deep learning models.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
A list of popular github projects related to deep learning
Convolutional Neural Network for Text Classification in Tensorflow
Model summary in PyTorch similar to `model.summary()` in Keras
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
A best practice for tensorflow project template architecture.
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
Deep Feature Flow for Video Recognition
Repository for few-shot learning machine learning projects
Keras Generative Adversarial Networks
Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking
Experimental keras implementation of novel neural network structures
Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.