Deep Learning

Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)

A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN

[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang

Paper list for equivariant neural network

A curated list of all awesome things related to self-driving car.

Learning from Synthetic Shadows for Shadow Detection and Removal [Inoue+, IEEE TCSVT 2020].

CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images

Rep the Set: Neural Networks for Learning Set Representations

This repo is a TensorFlow implementation of our work UKPGAN. UKPGAN is an unsupervised 3D keypoint detector where keypoints are detected so that they could reconstruct the original object shape.

Convolutive Transfer Function Invariant SDR

This is the pytorch implementation of the long paper on ACL 2020: A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction.

This is the official implementation of our loss function search for face recognition. It's accepted by ICML 2020.

Deep symbolic regression (DSR) is a deep learning algorithm for symbolic regression--the task of recovering tractable mathematical expressions from an input dataset. The package dsr contains the code for DSR, including a single-po

FACET is an open source library for human-explainable AI. It combines sophisticated model inspection and model-based simulation to enable better explanations of your supervised machine learning models.

The HH-suite is an open-source software package for sensitive protein sequence searching based on the pairwise alignment of hidden Markov models (HMMs).

A PyTorch re-implementation of the paper 'Exploring Simple Siamese Representation Learning'. Reproduced the 67.8% Top1 Acc on ImageNet.

The official pytorch implemention of the paper "Cognitive Vision Inspired Object Segmentation Metric and Loss Function"

Combinatorial-3D-Shape-Generation

Code from the paper "DACS: Domain Adaptation via Cross-domain Mixed Sampling"

Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.

Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020

This repository provides a PyTorch implementation of the paper "Learning from Irregularly-Sampled Time Series: A Missing Data Perspective".

Official PyTorch code for U-Noise: Learnable Noise Masks for Interpretable Image Segmentation

code for paper "Video Super-resolution with Temporal Group Attention"

This is a resource list for low light image enhancement, including datasets, methods/codes/papers, metrics, blogs and so on.

This project try autocompleting python source code using LSTM or Transformer models.

Threepio makes it dead simple to translate commands between machine learning frameworks such as PyTorch, Tensorflow.js, and Tensorflow Python. It acts as a core component in PySyft and syft.js.

Live real-time avatars from your webcam in the browser. No dedicated hardware or software installation needed. A pure Google Colab wrapper for live First-order-motion-model, aka Avatarify in the browser. And other Colabs providing

Official implementation of the paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis" in ICLR 2021

Official PyTorch implementation of the ICLR 2021 paper "You Only Need Adversarial Supervision for Semantic Image Synthesis". The code allows the users to reproduce and extend the results reported in the study.

Shapash is a Python library which aims to make machine learning interpretable and understandable by everyone. It provides several types of visualization that display explicit labels that everyone can understand.

ccf 2020 qa match competition top1

A comprehensive list of categorized reinforcement learning environments.