Code for the paper "Improved Techniques for Training GANs"

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Overview

Status: Archive (code is provided as-is, no updates expected)

improved-gan

code for the paper "Improved Techniques for Training GANs"

MNIST, SVHN, CIFAR10 experiments in the mnist_svhn_cifar10 folder

imagenet experiments in the imagenet folder

Official Pytorch Implementation of Unsupervised Image Denoising with Frequency Domain Knowledge

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This package is for running the semantic SLAM algorithm using extracted planar surfaces from the received detection

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Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

Pattern Pattern is a web mining module for Python. It has tools for: Data Mining: web services (Google, Twitter, Wikipedia), web crawler, HTML DOM par

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GPT, but made only out of gMLPs

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This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

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Coursera - Quiz & Assignment of Coursera

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Object detection on multiple datasets with an automatically learned unified label space.

Simple multi-dataset detection An object detector trained on multiple large-scale datasets with a unified label space; Winning solution of E

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Demonstrates iterative FGSM on Apple's NeuralHash model.

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Pytorch implementation of the paper: "A Unified Framework for Separating Superimposed Images", in CVPR 2020.

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Pretrained Cost Model for Distributed Constraint Optimization Problems

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Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"

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TOOD: Task-aligned One-stage Object Detection, ICCV2021 Oral

One-stage object detection is commonly implemented by optimizing two sub-tasks: object classification and localization, using heads with two parallel branches, which might lead to a certain level of

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State of the art Semantic Sentence Embeddings

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Use graph-based analysis to re-classify stocks and to improve Markowitz portfolio optimization

Dynamic Stock Industrial Classification Use graph-based analysis to re-classify stocks and experiment different re-classification methodologies to imp

Sheng Yang 10 Dec 05, 2022
RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.

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AdaDM: Enabling Normalization for Image Super-Resolution

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A package for "Procedural Content Generation via Reinforcement Learning" OpenAI Gym interface.

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TRIQ implementation

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PyTorch implementation of paper "IBRNet: Learning Multi-View Image-Based Rendering", CVPR 2021.

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