Antonio Gomez Zamorano's starred repositories
tensorly-notebooks
Tensor methods in Python with TensorLy
TorchCraftAI
A platform that lets you build agents to learn to play StarCraft: Brood War.
smooth-topk
Smooth Loss Functions for Deep Top-k Classification
pnn.pytorch.update
This repo houses the new PNN code, along with our responses to the issue raised in the recent Reddit discussion. The code is based on Michael Klachko’s repo with slight modification in model.py and main.py. All changes are marked.
WaveFunctionCollapse
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
wavefunctioncollapse
Walk through an infinite, procedurally generated city
cnn-watermark-removal
Fully convolutional deep neural network to remove transparent overlays from images
gpu_monitor
Monitor your GPUs whether they are on a single computer or in a cluster
s2snets-reconstruction
Demo code for reconstructed images from fine-tuned autoencoders
pytorch-kaldi
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
arbitrary-image-stylization-tfjs
Arbitrary style transfer using TensorFlow.js
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
trellisnet
[ICLR'19] Trellis Networks for Sequence Modeling
mmdetection
OpenMMLab Detection Toolbox and Benchmark
robotics-rl-srl
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
fastprogress
Simple and flexible progress bar for Jupyter Notebook and console
best-of-jupyter
Jupyter Tips, Tricks, Best Practices with Sample Code for Productivity Boost
dl-imperial-maths
Code and assignment repository for the Imperial College Mathematics department Deep Learning course
style2paints
sketch + style = paints :art: (TOG2018/SIGGRAPH2018ASIA)
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.