Shubham Wagh's Projects
My python3 solutions to 30 day leetcode challenge
A resource repository for 3D machine learning
This is the repository for the 3d_scanner project. The code will be developed in the next 2 months, and anyone with access can modify the files being added here.
AI residency programs information
Locally run an Instruction-Tuned Chat-Style LLM
Assignments of the course Ancient secerets of computer vision
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! đ)
Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolution, restoration and image to image translation.
đ Train an artificial intelligence to play tinder for you
accessible AutoML for deep learning.
:books: List of awesome university courses for learning Computer Science!
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
A curated list of awesome Deep Learning tutorials, projects and communities.
Curated list of Machine Learning, NLP, Vision Project Ideas
A topic-centric list of HQ open datasets in public domains. PR âââ
A curated list of awesome READMEs
Reinforcement learning resources curated
A curated list of awesome SLAM tutorials, projects and communities.
Bitcoin coding from scratch using python 3
Building a Blog API using basic data structures
ROS camera 2D Lidar extrinsic calibration tool
Testing CML CI for small ML project
library to read/write .npy and .npz files in C/C++
CI for vision-hw-assignments
List of Computer Science courses with video lectures.
CSE 481C repository
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!