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Warlord-K

Hi, I'm Yatharth

👨‍💻  About Me :

I am an ML Enthusiast from India.

  • 🔭 I’m working in NLP, Computer Vision and Reinforcement Learning.
  • 🧑‍🎓 I’m studying B.Tech Computer Science and Engineering at Indian Institute of Technology, Indore.
  • 🌱 Exploring Generative Models.
  • ⚡ In my free time I watch tech videos and read ML articles.
  • 📫 How to reach me:   Linkedin Badge

🛠  Languages and Tools :

Tensorflow  Pytorch  Numpy  OpenCV  Pandas  Python  cplusplus  VS Code  Pycharm   


🔥   My Stats :

GitHub Streak

Top Langs

Yatharth Gupta's Projects

arldm icon arldm

Official Pytorch Implementation of Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models

basicsr icon basicsr

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

blog icon blog

Public repo for HF blog posts

chrome icon chrome

The browserless Chrome service in Docker. Run on our cloud, or bring your own.

cs308 icon cs308

Trying to get OpenGL working on Codespaces to save me from bringing my old laptop to lab

cs353 icon cs353

Lab Code so that I don't have to manage it later

cs354 icon cs354

Prolog Lab Code, since I don't really want to carry around my laptop for this shit

devrev-interiit_2023 icon devrev-interiit_2023

IIT Indore's submission for High Prep problem statement "DevRev: Expert Answers in a Flash", presented in Inter IIT Tech Meet 11.0

diffusers icon diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

gymnasium icon gymnasium

A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)

keras-nlp icon keras-nlp

Modular Natural Language Processing workflows with Keras

moe_attention icon moe_attention

Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"

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