Pinned Repositories
2DgridSearch
2D grid search algorithms in Qt-C++ with GUI interface
BiARAStar
fast-feature-fool
Data independent universal adversarial perturbations
flownet2
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
discae
awesome-ai-residency
List of AI Residency Programs
awesome-deep-learning-papers
The most cited deep learning papers
books
caffe-tutorial
DIY Deep Learning for Vision: a Hands-On Tutorial with Caffe
CapsNet-Keras
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.
hbachchas's Repositories
hbachchas/sami-text-ext
hbachchas/hbachchas.github.io
hbachchas/semantic-segmentation
hbachchas/gaitrec-biometrics
hbachchas/discae
hbachchas/books
hbachchas/NTURGB-D
Info and sample codes for "NTU RGB+D Action Recognition Dataset"
hbachchas/awesome-ai-residency
List of AI Residency Programs
hbachchas/dlbasics
hbachchas/pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
hbachchas/temp
hbachchas/CapsNet-Keras
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.
hbachchas/pix2pix
Image-to-image translation with conditional adversarial nets
hbachchas/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
hbachchas/exp
hbachchas/universal
hbachchas/2DgridSearch
2D grid search algorithms in Qt-C++ with GUI interface
hbachchas/BiARAStar
hbachchas/keras
Deep Learning for humans
hbachchas/awesome-deep-learning-papers
The most cited deep learning papers
hbachchas/PWC-Net
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
hbachchas/graph_nets
Build Graph Nets in Tensorflow
hbachchas/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
hbachchas/talks
hbachchas/GD-UAP
Generalization Data-free Universal Adversarial Perturbations
hbachchas/xcluster
Algorithms and evaluation tools for extreme clustering
hbachchas/finetune-transformer-lm
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
hbachchas/seq2seq
Sequence to Sequence Learning with Keras
hbachchas/setup-scripts
hbachchas/learn_math_fast
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube