Deep Learning

minecraft-neural-network Analog neural network implemented in minecraft redstone, including backpropagation and gradient descent. The files in this re

Perceiver This Python package implements Perceiver: General Perception with Iterative Attention by Andrew Jaegle in TensorFlow. This model builds on t

SafeHarbor2.0 Potential Proposed Securities Act Rule 195. Time-limited exemption for Tokens. Proposed Safe Harbor – Time-limited Exemption for Tokens.

About This repo contains the official implementation of the Aligning Latent and Image Spaces to Connect the Unconnectable paper. It is a GAN model whi

Frontier Chain Testnets A repo for coordinating genesis transactions and sharing genesis files for Frontier Chain testnets. Black Mamba 0 Get started

pyDeprecate Simple tooling for marking deprecated functions or classes and re-routing to the new successors' instance. The common use-case is moving y

Invertible Image Signal Processing This repository includes official codes for "Invertible Image Signal Processing (CVPR2021)". Figure: Our framework

merged_depth runs (1) AdaBins, (2) DiverseDepth, (3) MiDaS, (4) SGDepth, and (5) Monodepth2, and calculates a weighted-average per-pixel absolute dept

Paper list for single object tracking (Modified from [benchmark_results] and continue to Update this list)

List of the Papers Addressing Vision-based Small Object Detection

Deep GPs built on top of TensorFlow/Keras and GPflow

Implementation of various Vision Transformers I found interesting

ODMD is the first dataset for learning Object Depth via Motion and Detection. ODMD training data are configurable and extensible, with each training example consisting of a series of object detection bounding boxes, camera movemen

Unofficial Pytorch implementation of "EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture"(ArXiv).

MMGeneration is a powerful toolkit for generative models, especially for GANs now. It is based on PyTorch and MMCV.

MIDASpy is a Python package for multiply imputing missing data using deep learning methods. The MIDASpy algorithm offers significant accuracy and efficiency advantages over other multiple imputation strategies, particularly when a

Pytorch Implementation of DeepLog.

Ludwig is a toolbox that allows users to train and test deep learning models without the need to write code. It is built on top of TensorFlow.

This is a tutorial demonstrating how to train a YOLOv4 people detector using Darknet and the CrowdHuman dataset.

Simple tutorials on Pytorch DDP training

This page is an addition to the Go Code Review Comments list. The goal of this list is to help to find concurrency-related bugs when reviewing Go code.

Python-Fast-Raytracer A basic Ray Tracer that exploits numpy arrays and functions to work fast. The code is written keeping as much readability as pos

summarizers summarizers is package for controllable summarization based on CTRLsum. currently, we only supports English. It doesn't work in other lang

An official implementation of MobileStyleGAN in PyTorch

This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network. In this work, we present an efficient high-resolution network, Lite-HRNet, for human pose estimation.

Code for CVPR2021 paper "Robust Reflection Removal with Reflection-free Flash-only Cues"

Spatial Intention Maps for Multi-Agent Mobile Manipulation (ICRA 2021)

This repository is for the CVPR 2021 paper, "Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE".

This repository contains source code and pre-trained/fine-tuned checkpoints for NAACL 2021 paper "LightningDOT". It currently supports fine-tuning on MSCOCO and Flickr30k. Pre-training code and a demo for FULL MSCOCO retrieval are

DeepMLS: Deep Implicit Moving Least-Squares Functions for 3D Reconstruction

Code for Transformers Solve Limited Receptive Field for Monocular Depth Prediction

This repository contains the official implementation of the paper "QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information", which is accepted to CVPR2021.

[CVPR 2021] "Multimodal Motion Prediction with Stacked Transformers": official code implementation and project page.