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animatediff

Official implementation of AnimateDiff.

arctic-captions

attention_is_all_you_need

[WIP] Attention Is All You Need (Vaswani et al. 2017) by Chainer.

backpropthroughthevoidrl

RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Baseline repo.

bi-att-flow

Bidirectional Attention Flow

blur-diffusion

Official PyTorch implementation of the paper Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis.

canvas-sketch

Transform an image into a pencil-sketch

cgt

Computation Graph Toolkit

chainer-variational-autoencoder

Variational AutoEncoder based on http://nbviewer.ipython.org/gist/duschendestroyer/a41fcab5f7f9ffa45387

charagram

Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".

chineseword2vec

cnmem

A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

copynet

incorporating copying mechanism in sequence-to-sequence learning

crayon

A language-agnostic interface to TensorBoard

ctcdecode

PyTorch CTC Decoder bindings

cv

Current CV of Jiatao Gu

dcgan_code

Deep Convolutional Generative Adversarial Networks

debug.github.io

Jiatao Gu's homepage.

deepcolor

dep-compo

A dependency based RNN composition methods for phrases and sentences.

depthwiseconv2d

Efficient implementation of Depthwise Conv2d. The main code is from https://github.com/MegEngine

deq

[NeurIPS'19] Deep Equilibrium Models

dgk_lost_conv

dgk_lost_conv 中文对白语料 chinese conversation corpus

differentiable_volumetric_rendering

This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"

dit

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

dl4mt-c2c

dl4mt-cdec

dl4mt-material

dni.pytorch

Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch