Pinned Repositories
ais
Annealed Importance Sampling
attractors
A set of simulations on attractor models
cata-forget
dip-spectral
FaceDetect
Face detection with convolutional neural networks in TensorFlow.
HandTrack-AutoEnc
Hand tracking with autoencoders
Script-Analyzer
Python modules to analyze movie scripts
Sentiment-ConvNet
Convolutional neural networks for sentiment classification of short texts.
PCJohn's Repositories
PCJohn/dip-spectral
PCJohn/cata-forget
PCJohn/ais
Annealed Importance Sampling
PCJohn/attractors
A set of simulations on attractor models
PCJohn/autorender
PCJohn/cocostuff
The official homepage of the COCO-Stuff dataset.
PCJohn/collect
collection of utils
PCJohn/deep-image-prior
Image restoration with neural networks but without learning.
PCJohn/dip-mem
PCJohn/dipmem
PCJohn/facedetection
Easy face detection using openCV
PCJohn/font-editor
Font editor supporting multiple languages
PCJohn/HKRM
Hybrid Knowledge Routed Module for Large-scale Object Detection
PCJohn/Image-to-Image-Translation
Implementations of Image to Image Translation via Generative Models using PyTorch
PCJohn/keras
Deep Learning for humans
PCJohn/maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
PCJohn/mem
Memory Modules
PCJohn/models
Models and examples built with TensorFlow
PCJohn/multi_illumination
PCJohn/noisy-lang
Langevin Dynamics to train Neural Nets using Noisy Labels
PCJohn/pcsetup
PCJohn/pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
PCJohn/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PCJohn/pytorch-classification
Classification with PyTorch.
PCJohn/re3-pytorch
Re3 in PyTorch
PCJohn/renorm
Renormalization group to course-grain neural network models
PCJohn/retinanet-examples
Fast and accurate object detection with end-to-end GPU optimization
PCJohn/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
PCJohn/VAE-Tensorflow
VAE Tensorflow
PCJohn/vision
Datasets, Transforms and Models specific to Computer Vision