K Venkat Ramnan's repositories
tr3d-3dof
TR3D for 3dof rotation
mlx
MLX: An array framework for Apple silicon
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
mickey
[CVPR 2024 - Oral] Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences
pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
ByteTrack
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
comp-bio-node2vec
Node2Vec and community detection for biology networks
venkatramnank.github.io
Portfolio Website
MarsHiriseProject
The goal behind the project is to train a classifier to classify the mars HiRISE images. The focus would be to understand the decisions made by the classifier so as to understand the interpretability of the model.
spnv2
PyTorch implementation of SPNv2
point-cloud-utils
A Python library for common tasks on 3D point clouds
portfolio
The startup template for Chirpy.
code-generator
Web Application to generate your training scripts with PyTorch Ignite
pytorch-ddpg
Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch
ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
MID
[CVPR2022] Code for CVPR 2022 paper "Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion"
minitorch
The full minitorch student suite.
SPH-Fluid-Simulator
An interactive fluid simulation software that uses Smoothed-Particle Hydrodynamics
skills-github-pages
My clone repository
3d-Vision-Journey
My clone repository
Anomaly-Detection-PCB-Unity
PCB Anomaly Detection
sgan
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
worldstrat
The WorldStrat Dataset
PytorchTutorial
Set of Basic Tutorials for Pytorch
JulyMLWorkshop
Codes and PPT for ML Workshop held on July 13 and 14