GandalfTGrey
in University of Chinese Academy of Sciences
University of Chinese Academy of SciencesShang hai
GandalfTGrey's Stars
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
xai-org/grok-1
Grok open release
QSCTech/zju-icicles
浙江大学课程攻略共享计划
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
USTC-Resource/USTC-Course
:heart:**科学技术大学课程资源
Dod-o/Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
XuehaiPan/nvitop
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
MichaelGrupp/evo
Python package for the evaluation of odometry and SLAM
christianversloot/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
uzh-rpg/event-based_vision_resources
tzutalin/awesome-visual-slam
:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers
ankitdhall/lidar_camera_calibration
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
patrick-llgc/Learning-Deep-Learning
Paper reading notes on Deep Learning and Machine Learning
jia-zhuang/pytorch-multi-gpu-training
整理 pytorch 单机多 GPU 训练方法与原理
sniklaus/pytorch-pwc
a reimplementation of PWC-Net in PyTorch that matches the official Caffe version
NeuralEnsemble/python-neo
Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
NeuralEnsemble/PyNN
A Python package for simulator-independent specification of neuronal network models.
mxc19912008/Key-Algorithms
joeldg/Deep-learning-books
Books for machine learning, deep learning, math, NLP, CV, RL, etc
SubMishMar/cam_lidar_calib
3D-Lidar Camera Calibration using planar Point to to camera Plane Constraint
LarryDong/EventCameraGroupsCN
整理国内事件相机研究团队。逐步整理
PacktPublishing/TensorFlow-Machine-Learning-Cookbook-Second-Edition
TensorFlow Machine Learning Cookbook Second Edition, published by Packt
YihongSun/Dynamo-Depth
[NeurIPS 2023] Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes
rtflynn/Cifar-Autoencoder
A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.
AlexPasqua/Autoencoders
Pytorch implementation of various autoencoders (contractive, denoising, convolutional, randomized)
MXHX7199/SNN-SSTDP
SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.
flatironinstitute/isosplit5
ISO-SPLIT clustering (stand-alone version)
GandalfTGrey/DiFintDataset
magland/mountainlab_pytools
Tools for using MountainLab with python
marcocrxu/USTC-AutomaticHealthReport
机械性的USTC健康打卡给爷爬