Deep Learning

Frameworks for Neural Networks and Deep Learning.

Newest releases

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.
 

cvdfoundation Fashionpedia is a new dataset which consists of two parts: (1) an ontology built by fashion experts containing 27 main apparel categories, 19 apparel parts, 294 fine-grained attributes and their relationships; (2) a dataset with e
 

amitness Chrome extension that adds video explanations to research papers on arxiv.org
 

WangLiwen1994 Deep Relighting Network for Image Light Source Manipulation
 

zju3dv EasyMocap is an open-source toolbox for markerless human motion capture.
 

YunYang1994 🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
 

auto-flow UltraOpt is a simple and efficient library to minimize expensive and noisy black-box functions, it can be used in many fields, such as HyperParameter Optimization(HPO) and Automatic Machine Learning(AutoML).
 

jrieke 🏆 A ranked gallery of awesome streamlit apps built by the community
 

nums-project NumS is a Numerical computing library for Python that Scales your workload to the cloud.
 

openai CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pairs. It can be instructed in natural language to predict the most relevant text snippet, given an image, without directly o
 

lucidrains Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch
 

XuyangBai A curated list of resources on point cloud registration inspired by awesome-computer-vision. Work-in-progress. All contributions are welcome and appreciated.
 

lab-ml 🧠 Minimal implementations of neural network architectures and layers in PyTorch with side-by-side notes
 

dfm This repository is meant as a tutorial demonstrating the infrastructure required to provide custom ops in JAX when you have an existing implementation in C++ and, optionally, CUDA.