Deep Learning

Unofficial implementation of Alias-Free Generative Adversarial Networks. (https://arxiv.org/abs/2106.12423) This implementation contains a lot of my guesses, so I think there are many differences to the official implementations

A collection of research papers and software related to explainability in graph machine learning.

A repo for running VQGAN+CLIP locally. This started out as a Katherine Crowson VQGAN+CLIP derived Google colab notebook.

This repo contains the supported code and configuration files to reproduce object detection results of Disentangle Your Dense Object Detector. It is based on mmdetection.

OpenDILab Decision AI in StarCraftII

DI-drive - Decision Intelligence Platform for Autonomous Driving simulation.

DI-engine is a generalized Decision Intelligence engine. It supports most basic deep reinforcement learning (DRL) algorithms, such as DQN, PPO, SAC, and domain-specific algorithms like QMIX in multi-agent RL, GAIL in inverse RL, a

Build Low Code Automated Tensorflow, What-IF explainable models in just 3 lines of code.

Fine-tuning StyleGAN2 for Cartoon Face Generation

PyTorch training code and pretrained models for SimDR (Simple yet effective Disentangled Representation for keypoint coordinate)

Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch

Enabling tinygrad compatibility with the Google Edge TPU

This is an evaluation harness for the HumanEval problem solving dataset described in the paper "Evaluating Large Language Models Trained on Code".

The AugNet Python module contains functions for the fast computation of image similarity.

The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)

A selection of State Of The Art research papers (and code) on human locomotion (pose + trajectory) prediction (forecasting)

MIM provides a unified API for launching and installing OpenMMLab projects and their extensions, and managing the OpenMMLab model zoo.

Implementation of Denoising Diffusion Probabilistic Model in Pytorch. It is a new approach to generative modeling that may have the potential to rival GANs.

This repo is related to Google Coding Challenge, given to Bright Network Internship Experience 2021. Language used here is python.

This package contains deep learning models and related scripts to run RoseTTAFold This repository is the official implementation of RoseTTAFold: Accurate prediction of protein structures and interactions using a 3-track network.

Implementation of the GBST (gradient-based subword tokenization) module from the Charformer paper, in Pytorch. The paper proposes a module that automatically learns subword representations, obviating the need for tokenizers in the

Fine-tune Vision Transformers for anything using images found on the web.

Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces

Global Filter Networks is a transformer-style architecture that learns long-term spatial dependencies in the frequency domain with log-linear complexity.

reflective-clothes-detect-dataset、helemet detection yolov5、工作服(反光衣)检测数据集、安全帽检测、施工人员穿戴检测

AutoML - Neural Architecture Search

TIP2021 - Unsupervised deep image stitching network

A lightweight library for neural networks that runs anywhere

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch. 🔥

This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.

The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"(https://arxiv.org/abs/2105.05537). A validation for U-shaped Swin Transformer.

This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages"