Skip to content
View bkhanal-11's full-sized avatar
  • University of Jyvรคskylรค
  • Jyvรคskylรค, Finland
  • 15:33 (UTC +02:00)
  • LinkedIn in/khanal-bishwash

Highlights

  • Pro

Block or report bkhanal-11

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
bkhanal-11/README.md

Hi there ๐Ÿ‘‹

  • ๐Ÿ”ญ Iโ€™m currently working on AI Model Quantization & Pruning algorithms and 3D Reconstruction of Indoor Scenes.
  • ๐ŸŒฑ Iโ€™m currently learning about Fine-tuning and Evaluation of LLMs.
  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on Computer Vision and NLP projects.
  • ๐Ÿ’ฌ Ask me about anything.
  • ๐Ÿ“ซ How to reach me: khanal.bishwash08@gmail.com
  • ๐Ÿ˜„ Pronouns: he/him

Languages and Tools:

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

Pinned Loading

  1. generative-deep-learning generative-deep-learning Public

    Road towards diffusion models.

    Jupyter Notebook 6

  2. machine-learning machine-learning Public

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

    Python 2

  3. isl-org/Open3D isl-org/Open3D Public

    Open3D: A Modern Library for 3D Data Processing

    C++ 11.5k 2.3k

  4. EKbanaML/ekbanaml.github.io EKbanaML/ekbanaml.github.io Public

    Things happening at Machine Learning table.

    SCSS 6 16

  5. transformers transformers Public

    The implementation of transformer as presented in the paper "Attention is all you need" from scratch.

    Python 7

  6. awesome-360-depth-estimation awesome-360-depth-estimation Public

    State-of-the-art papers for depth estimation of 360 images.

    47 1