Pinned Repositories
gresearch_crypto_forecasting_kaggle
Transformer-based solution for crypto time-series forecasting Kaggle
kgl_deepfake
xview2comp
qAp's Repositories
qAp/earthshotsoil
qAp/HPA-Cell-Segmentation
qAp/mmdetection
OpenMMLab Detection Toolbox and Benchmark
qAp/water
qAp/forest
Repository for Earthshot Labs forest carbon work
qAp/xview2comp
qAp/kgl_clouds
qAp/python_examples
qAp/omdena_engie
qAp/ESRGAN-pytorch
super resolution pytorch using ESRGAN
qAp/stylegan2-pytorch
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
qAp/beautifulhugo
Theme for the Hugo static website generator
qAp/IIC
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
qAp/BigGAN-PyTorch
The author's officially unofficial PyTorch BigGAN implementation.
qAp/instance_level_recognition
The 2nd place solution to the 2020 edition of the Google Landmark Recognition competition
qAp/fastai
The fastai deep learning library, plus lessons and tutorials
qAp/style-based-gan-pytorch
Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch
qAp/building-segmentation-disaster-resilience
Open Cities AI Challenge: Segmenting Buildings for Disaster Resilience
qAp/distributed_tutorial
qAp/HPA-competition-solutions
Team original solutions for the Human Protein Atlas image classification competition
qAp/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
qAp/jigsaw-multilingual
PyTorch code used by the 1st place winner of the 2020 Kaggle multilingual Toxic Comments competition
qAp/swift
Swift for TensorFlow
qAp/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
qAp/fastbook
Draft of the fastai book
qAp/course-v4
Pre-release of v4 of course.fast.ai
qAp/kgl_deepfake
qAp/fastai2
Temporary home for fastai v2 while it's being developed
qAp/climatools
qAp/kaggle-understanding-clouds
Code for 1st place solution in Understanding Clouds from Satellite Images Challenge.