StancyMiller's Stars
practical-tutorials/project-based-learning
Curated list of project-based tutorials
CompVis/stable-diffusion
A latent text-to-image diffusion model
binary-husky/gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
prakhar1989/awesome-courses
:books: List of awesome university courses for learning Computer Science!
ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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.
google-research/google-research
Google Research
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
changkun/modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
kenjihiranabe/The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
onnx/onnx
Open standard for machine learning interoperability
bharathgs/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
CASIA-IVA-Lab/FastSAM
Fast Segment Anything
isl-org/MiDaS
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Hzzone/pytorch-openpose
pytorch implementation of openpose including Hand and Body Pose Estimation.
axinc-ai/ailia-models
The collection of pre-trained, state-of-the-art AI models for ailia SDK
zhulei227/ML_Notes
机器学习算法的公式推导以及numpy实现
gaoxiang12/slam_in_autonomous_driving
《自动驾驶中的SLAM技术》对应开源代码
youngguncho/awesome-slam-datasets
A curated list of awesome datasets for SLAM
ialhashim/DenseDepth
High Quality Monocular Depth Estimation via Transfer Learning
huawei-noah/noah-research
Noah Research
PRBonn/SHINE_mapping
🌟 SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA 2023)
zlwang7/S-FAST_LIO
A simplified implementation of FAST_LIO (with Chinese note)
boyu-ai/Hands-on-ML
https://hml.boyuai.com
BhanuPrakashNani/Image_Processing
Image Processing techniques using OpenCV and Python.
arclab-hku/Event_based_VO-VIO-SLAM
Our Works in Event-based VO/VIO/SLAM
ZJU-FAST-Lab/Fast-tracker
ChengeYang/Probabilistic-Robotics-Algorithms
Python implementations of state estimation and SLAM algorithms in Probabilistic Robotics.
PacktPublishing/Computer-Vision-with-Python-3
Computer Vision with Python 3, published by Packt