Deep Learning

Frameworks for Neural Networks and Deep Learning.

Newest releases

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

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

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

Chen-Cai-OSU Paper list for equivariant neural network

daohu527 A curated list of all awesome things related to self-driving car.

naoto0804 Learning from Synthetic Shadows for Shadow Detection and Removal [Inoue+, IEEE TCSVT 2020].

ming71 CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images

giannisnik Rep the Set: Neural Networks for Learning Set Representations

qq456cvb 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.

fgnt Convolutive Transfer Function Invariant SDR

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

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

brendenpetersen 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

BCG-Gamma 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.

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

taoyang1122 A PyTorch re-implementation of the paper 'Exploring Simple Siamese Representation Learning'. Reproduced the 67.8% Top1 Acc on ImageNet.

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

POSTECH-CVLab Combinatorial-3D-Shape-Generation

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

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

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

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

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

junpan19 code for paper "Video Super-resolution with Temporal Group Attention"

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

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

OpenMined 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.

eyaler 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

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

boschresearch 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.

MAIF 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.

xv44586 ccf 2020 qa match competition top1

clvrai A comprehensive list of categorized reinforcement learning environments.