TutuGo2019's Stars
marsgis/mars3d
【Mars3D平台 】主仓库,包含所有开源仓库清单导航
VIRL-Platform/VIRL
(ECCV 2024) Code for V-IRL: Grounding Virtual Intelligence in Real Life
meta-llama/llama3
The official Meta Llama 3 GitHub site
cure-lab/DeepGate
This is an official implementation for "DeepGate: Learning Neural Representations of Logic Gates".
google-deepmind/alphageometry
google-deepmind/funsearch
tomdbar/eco-dqn
Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
idea-iitd/GCOMB
Edward-Sun/DIFUSCO
Code of NeurIPS paper: arxiv.org/abs/2302.08224
tomdbar/ecord
Supporting code for "Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration".
xunzheng/notears
DAGs with NO TEARS: Continuous Optimization for Structure Learning
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Vision-CAIR/MiniGPT-4
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
gaomingqi/Track-Anything
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
kaixindelele/ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
kornia/kornia-examples
weihaox/awesome-neural-rendering
Resources of Neural Rendering
SystemErrorWang/White-box-Cartoonization
Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
sunghoonim/DPSNet
[ICLR19] DPSNet: End-to-end Deep Plane Sweep Stereo
huawei-noah/AdderNet
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
gaoxiang12/slambook2
edition 2 of the slambook
xdspacelab/openvslam
OpenVSLAM: A Versatile Visual SLAM Framework