Deep Learning

Minimalistic open-source library for metric learning written in TensorFlow2, TF-Addons, Numpy, OpenCV(CV2) and Annoy. This repository contains a TensorFlow2+/tf.keras implementation some of the loss functions and miners. This repo

Document Text Recognition (DocTR) made seamless, high-performing & accessible to anyone using Deep Learning for OCR-related tasks.

A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.

A curated list of awesome resources for semantic understanding of aerial scene, e.g. tutorials, papers, books, datasets, libraries and software.

BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation

Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

TorchShard is a lightweight engine for slicing a PyTorch tensor into parallel shards. It can reduce GPU memory and scale up the training when the model has massive linear layers (e.g., ViT, BERT and GPT) or huge classes (millions

This is PyTorch implementation of our CVPR 2021 Oral paper "LED2-Net: Monocular 360˚ Layout Estimation via Differentiable Depth Rendering".

TensorFlow implementation of EigenGAN: Layer-Wise Eigen-Learning for GANs

Official Pytorch implementation of "Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video", CVPR 2021

Official repository for "Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling"

PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"

The 1st place solution of track2 (Vehicle Re-Identification) in the NVIDIA AI City Challenge at CVPR 2021 Workshop.

RobustNet: Improving Domain Generalization in Urban-Scene Segmentationvia Instance Selective Whitening

Arbitrary-scale super-resolution is a raising research topic with tremendous application potentials. Prior CNN-based SR approaches usually apply to only one fixed resolution scale, and thus unable to adjust their output dimension

Multi-Scale Aligned Distillation for Low-Resolution Detection (CVPR2021)

This contains a PyTorch implementation of Differentiable Optimizers with Perturbations in Tensorflow. All credit belongs to the original authors which can be found below. The source code, tests, and examples given below are a one-

TorchPQ is a python library for Approximate Nearest Neighbor Search (ANNS) and Maximum Inner Product Search (MIPS) on GPU using Product Quantization (PQ) algorithm. TorchPQ is implemented mainly with PyTorch, with some extra CUDA

ArangoML Pipeline is a common and extensible Metadata Layer for Machine Learning Pipelines which allows Data Scientists and DataOps to manage all information related to their ML pipeline in one place.

RANZCR-CLiP 7th Place Solution This repository is WIP. (28 Mar 2021) Installation git clone https://github.com/analokmaus/kaggle-ranzcr-clip-public.gi

MeshSlicer Blender Add-On for slicing meshes with multiple overlapping planes at once. This is a simple Blender addon to slice a silmple mesh with mul

Threat Modeling Training This is the public version of the Threat Modeling training run at Segment. The goal of the training is to teach the individua

Submission by Cookie Clan for MozoHack 2.1 Entry of Cookie Clan, from SRM Institute of Science and Technology, Kattankulathur, to MozoHack 2.1. Tracks

WARNING NOT YET COMPLETE, DO NOT USE, PLEASE CHECK AGAIN OR FOLLOW FOR FINAL RELASE https://github.com/clacktronics/AudioJacks AudioJacks KiCAD footpr

leaf-audio-pytorch Pytorch port of Google Research's LEAF Audio paper published at ICLR 2021. This port is not completely finished, but the Leaf() fro

Collection of contributions to and resources for the first #30DayChartChallenge in April 2021. How to contribute? Anyone is welcome to contribute, no

Dynamic Slimmable Network (DS-Net) This repository contains PyTorch code of our paper: Dynamic Slimmable Network (CVPR 2021 Oral). Architecture of DS-

Strudra Welcome to Strudra, a way to craft Ghidra structs in python, using ghidra_bridge. It's quite convenient together with IPython, featuring tab c

ImageNet-1K serves as the primary dataset for pretraining deep learning models for computer vision tasks. ImageNet-21K dataset, which contains more pictures and classes, is used less frequently for pretraining, mainly due to its c

This project uses a conditional generative adversarial network (cGAN) named Pix2Pix for the Image to image translation task.

Pytorch implementation of "Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet"

Neural Ordinary Differential Equations (NODEs) use a neural network to model the instantaneous rate of change in the state of a system. However, despite their apparent suitability for dynamics-governed time-series, NODEs present a

Given an image pair, TrGAN is able to project them onto the learned transformation space and further extract the semantic variation between them to transform new images.