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animatabledreamer

awesome-nerf

A curated list of awesome neural radiance fields papers

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cnn

codf

coreg

Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.

curly-waddle

darts-tensorflow

Tensorflow code for Differentiable architecture search

dataset_synthesizer

NVIDIA Deep learning Dataset Synthesizer (NDDS)

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-models

A collection of various deep learning architectures, models, and tips

demo-repo

geonet

Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)

hosts

镜像：https://coding.net/u/scaffrey/p/hosts/git

lab4d2

A framework for 4D reconstruction from monocular videos.

mean-teacher

A state-of-the-art semi-supervised method for image recognition

mmdetection

OpenMMLab Detection Toolbox and Benchmark

nerf_toolbox

nerf related toolbox from other repo

patchvisiontransformer

phynerf

prickledetection

pysc2

StarCraft II Learning Environment

setr

[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

simclr

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

sinet

Camouflaged Object Detection, CVPR 2020 (Oral & Reported by the New Scientist Magazine)

ssgan-tensorflow

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

synthetic-data-ue4

thuthesis

LaTeX Thesis Template for Tsinghua University

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch