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Hi there šŸ‘‹

  • šŸ”­ Iā€™m currently working on Computer Vision & Natural Language Processing algorithms and 3D Reconstruction of Indoor Scenes.
  • šŸŒ± Iā€™m currently learning about Fine-tuning and Evaluation of LLMs.
  • šŸ‘Æ Iā€™m looking to collaborate on Computer Vision and NLP projects.
  • šŸ’¬ Ask me about anything.
  • šŸ“« How to reach me: [email protected]
  • šŸ˜„ Pronouns: he/him

Languages and Tools:

Python C++ PyTorch TF Keras FastAPI Docker Kubernetes HuggingFace LaTeX Linux Visual Studio Code Git GitHub Terminal

Bishwash Khanal's Projects

cgal icon cgal

The public CGAL repository, see the README below

clip-openai icon clip-openai

Implementation of CLIP from OpenAI using pretrained Image and Text Encoders.

deep-learning icon deep-learning

Implementation of different state-of-the-art deep learning model from scratch.

deeplearning.ai icon deeplearning.ai

The notebooks used as a part of several courses taught about LLMs on DeepLearning.ai.

easy3d icon easy3d

A lightweight, easy-to-use, and efficient C++ library for processing and rendering 3D data

gaslfr-kaggle icon gaslfr-kaggle

Attempt at Google's competitiom on Isolated Americal Sign Language Recognition through Fingerspelling hosted on Kaggle.

gislr-kaggle icon gislr-kaggle

Attempt at Google's competitiom on Isolated Sign Language Recognition hosted on Kaggle.

gpt-2 icon gpt-2

Implementation of Generative Pre-Training (GPT)-2 model from scratch.

llama-recipes icon llama-recipes

Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger

machine-learning icon machine-learning

Implementation of different applied machine learning algorithms from scratch with theory and details of implementation.

ml-deployment icon ml-deployment

My take on deployment of ML model using FastAPI, Docker and Kubernetes.

multiview-3d-reconstruction icon multiview-3d-reconstruction

Using traditional image processing techniques to construct 3D point cloud of objects. Incremental Structure from Motion (SfM) is used, a popular SfM algorithm for 3D reconstruction for reconstruction. The method is then evaluated using certain 3D reconstruction datasets.

mvs-texturing icon mvs-texturing

Algorithm to texture 3D reconstructions from multi-view stereo images

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