kaidic

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

CodeHub

CodeHub is an iOS application written using Xamarin

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

pysc2

StarCraft II Learning Environment

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

vrn

:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

UNIT

Unsupervised Image-to-Image Translation

mx-maskrcnn

An MXNet implementation of Mask R-CNN

GANotebooks

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

Deep-Feature-Flow

Deep Feature Flow for Video Recognition

StockPricePrediction

Stock Price Prediction using Machine Learning Techniques

PhotographicImageSynthesis

Photographic Image Synthesis with Cascaded Refinement Networks

Flow-Guided-Feature-Aggregation

Flow-Guided Feature Aggregation for Video Object Detection

mx-rcnn

Parallel Faster R-CNN implementation with MXNet.

pytorch-deeplab-resnet

DeepLab resnet v2 model in pytorch

TuSimple-DUC

Understanding Convolution for Semantic Segmentation

OSVOS-TensorFlow

One-Shot Video Object Segmentation

noscope

Accelerating network inference over video

deep-learning-benchmark

Deep Learning Benchmark for comparing the performance of DL frameworks, GPUs, and single vs half precision

pytorch-scripts

A few Windows specific scripts for PyTorch

sact

Spatially Adaptive Computation Time for Residual Networks

Incremental-Network-Quantization

Caffe Implementation for Incremental network quantization

denet

A simple extendable library for training and evaluating Deep Convolutional Neural Networks focussing on real-time image classification and detection.

DT-RAM

Project

Incremental Network Quantization, Kmeans quantization, Iterative Pruning, Dynamic Network Surgery

ClockworkRNN

Reimplementation of the clockwork recurrent neural network in Torch7

joshua19881228.github.io