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Broke Company
- Kolkata, West Bengal, INDIA
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21:04
(UTC +05:30) - https://soumya997.github.io/aboutme/
- @somuSan_
Lists (23)
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3D
AI/ML papers/methods
different new methods or paper implementations!ALIVE-IIITD
Coding
cp-list
for competitive programming resources.deffusion
DSA
Generative Art
Humanoid
Kaggle
LLM
Maths
ML tool kit
Paper reading List
It's mainly for reading papers or some certain paper implementationsportfolio site
Python tips and tricks
repo-to-contribute
Resources | programs | others
Robotics
Robotics VLA and RL
SELF-DRIVING CAR
SLAM
Terminal tools
Starred repositories
ROS metapackages with footstep planning and localization for humanoid robots
3D mesh of the university campus etc.
ROS 2 package of 3D lidar slam using ndt/gicp registration and pose-optimization
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
3D LIDAR Localization using NDT/GICP and pointcloud map in ROS 2 (Not SLAM)
jefequien / gsplat-mcmc
Forked from nerfstudio-project/gsplatCUDA accelerated rasterization of gaussian splatting
MankaranSingh / IsaacLab
Forked from isaac-sim/IsaacLabUnified framework for robot learning built on NVIDIA Isaac Sim
rsasaki0109 / ndt_omp_ros2
Forked from koide3/ndt_ompROS2 porting of ndt_omp
gezp / carla_ros
Forked from carla-simulator/ros-bridgeROS bridge for CARLA Simulator
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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
thehummingbird / privateGPT
Forked from zylon-ai/private-gptInteract privately with your documents using the power of GPT, 100% privately, no data leaks
overcount
soumya997 / Virtual-Doc
Forked from khanfarhan10/Virtual-DocThe main aim of this project is to provide Quick and accessible medical assistance like malaria detection, pneumonia detection, diabetes detection within your browser using Deep Learning.