Jiatao Gu's Projects
Python code for various NLP metrics
Neural machine translation with Recurrent Deterministic Policy Gradient
Towards Neural Phrase-based Machine Translation
An implementation of Neural Turing Machines
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
install opendr locally
An open-source impl. of Large Reconstruction Models
OptNet: Differentiable Optimization as a Layer in Neural Networks
This is an unofficial implementation of the Point Transformer paper.
My graduation project, maybe.
all code for data preprocess
A Machine Learning library based on Theano
Python bindings to the pointcloud library (pcl)
Automatically exported from code.google.com/p/python-progressbar
(Linear-chain) Conditional random field in PyTorch.
(Forked) Levenshtein edit-distance on PyTorch and CUDA
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
tutorial for researchers to learn deep learning with pytorch.
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Question answering dataset featured in "Teaching Machines to Read and Comprehend
Automatically exported from code.google.com/p/redsvd
Reformer, the efficient Transformer, in Pytorch
A living collection of deep learning problems
Implementation of the reweighted wake-sleep machine learning algorithm