AntiLibrary5

PHEV-modeling-MATLAB

This repo contains the relevant MATLAB code to model and design powertrain for a PHEV and to that extent; it involves finding the power required and energy consumption for a glider vehicle, a conventional vehicle and a full electric vehicle and sizing components optimally. Components like engine, motor, battery pack are modelled individually then combined together as a complete powertrain.

BEV-modeling-MATLAB

This repo contains the MATLAB code for component sizing of a battery electric vehicle (BEV) powertrain. This involves sizing the motor to meet the power requirements and sizing the battery capacity for range requirement which fulfills the battery power requirement. See Report.pdf

XAI-CARLA-dataset

For automated creation of dataset of various scenarios in CARLA towards explainability in Reinforcement Learning in AVs.

P2_PHEV_MIL_EC3Y4_V1_2017b_GUI_V1

An implementation MATLAB based GUI, to automate the process of exporting vehicle CAN data from log files through CANoe API to plot and compare to simulated data from vehicle plant model in Simulink using Matlab.

Platoon-Formation-RRT

Contains relevant tutorials and literature on the on-going project of Platoon Formation

UJIIndoorLoc-IndoorLocalization

This repository contains a single node neural network model from scratch and some TensorFlow based models of varying complexity to perform indoor localization using the UJIIndoorLoc dataset.

DETR_text_detection

DETR for scene text detection

Engine-2-ZoneModel-NaturallyAspirated

This repo contains a Matlab code based 2-zone model of a naturally aspirated engine

taming-motion

AI_utopia

A pySimpleGUI based chat simulation that "creates" artwork

AntiLibrary5.github.io

My personal blog

computer_vision_opencv

deep-learning-project-template

Pytorch Lightning code guideline for conferences

AntiLibrary5

cplusplus_mnist

credits: https://github.com/pytorch/examples/tree/main/cpp/mnist

deep_pollination_raw

Deep Pollination challenge with raw images as the dataset

deepArt-generation

Repository for generating arts using modern algorithms such as deep convolutional generative nets or conv. variational autoencoders where data/images to be learned is scraped from wikiart.org

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Embeddings

Saving embeddings here for tensorflow_embeddings

fenchel-young-losses

Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

on-3d-bone-locations

PlatoNeRF

PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar

qlora

QLoRA: Efficient Finetuning of Quantized LLMs

Reports

This repo serves to contain many of the project reports which are self-contained without code

score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

ViT-pytorch-1

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)