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Hey, I'm Rohit Rajesh.

I am a final year student at BITS PILANI.

  • I'm currently working on projects based on Computer Vision and Application of Deep Learning in Biological Sciences.
  • Iā€™m looking to collaborate with other researchers and creators

Connect with me:

12RohitRajesh | Twitter rohit-rajesh-179769191 | LinkedIn



Rohit Rajesh's Projects

clap icon clap

Contrastive Language-Audio Pretraining

cv-for-autonomous-machines icon cv-for-autonomous-machines

Computer Vision Stack for autonomous machines, that include algorithms that can find the locate, find distance and velocity of objects from data captured from a 2D monocular camera.

dino-game-bot icon dino-game-bot

Google chrome Dino game bot powered by Computer Vision and Deep Learning.

fastgan-pytorch icon fastgan-pytorch

Official implementation of the paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis" in ICLR 2021

groundingdino icon groundingdino

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

gsoc-organisation-picker icon gsoc-organisation-picker

Program that makes chooing an organisantion easier by picking the ones that have projects in your skillset. It also checks if the organisation has participated in previous editions of GSoC.

housing-prices icon housing-prices

Analysis on the topic "Major factors that will determine the factors that could influence residential home prices across the United States over the next 10 years".

kagglecode icon kagglecode

Repo that holds all the scripts used to curate the KaggleCode dataset from Kaggle Meta Code dataset.

llava icon llava

Visual Instruction Tuning: Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities.

llmdet icon llmdet

LLMDet is a text detection tool that can identify which generated sources the text came from (e.g. large language model or human-write).

medsrgan icon medsrgan

PyTorch implementation of "MedSRGAN: medical images super-resolution using generative adversarial networks"

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