Kabir
Research profile of Kabir Murjani.
Install
pip install kabir
Usage
kabir
Or from Python:
import kabir
kabir.whoami()
Output
Kabir Murjani
ABOUT
--------------------------------------------------------------------------------
I am a final year Electrical Engineering student at Nirma University. I
architect neural nets and exact solvers that run fast.
I primarily work on reinforcement learning on combinatorial spaces and
language models. I'm currently working on Deep RL solvers for NP-hard
combinatorial problems at Indian Institute of Management Bangalore (IIMB), and
previously engineered and optimized sequential architectures with SIT-NVIDIA
AI Centre (SNAIC).
I work on game theory, adversarial economics, and sequential decision
processes. My hobbies are algorithmic music composition and playing chess.
Whether you're building in adjacent spaces, exploring topologies, or just up
for a game, feel free to reach out.
INTERESTS: Model Quantization, Efficient Inference, Reinforcement Learning,
Neural Combinatorial Optimization
License
MIT
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
kabir-0.0.9.tar.gz
(2.1 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
kabir-0.0.9-py3-none-any.whl
(3.1 kB
view details)
File details
Details for the file kabir-0.0.9.tar.gz.
File metadata
- Download URL: kabir-0.0.9.tar.gz
- Upload date:
- Size: 2.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.14.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
af4ec55c325d47300bfa2613aed02d840165d0f84ae95e91f056c5954a5ce777
|
|
| MD5 |
5e60e61728db3e506242b0c8d2fd6212
|
|
| BLAKE2b-256 |
958749931be47b66502a734f7fab9a8606514a1f2a2dbeaec6484284db131c3e
|
File details
Details for the file kabir-0.0.9-py3-none-any.whl.
File metadata
- Download URL: kabir-0.0.9-py3-none-any.whl
- Upload date:
- Size: 3.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.14.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d40ea1865acbf827eaa8522862812eb9e86920fd7e112e699a2868bfa01a1b31
|
|
| MD5 |
28d46b740b77a5d113d567537f4fc8f0
|
|
| BLAKE2b-256 |
7e68b14376f3e3e26c30b66f1ec3287fdcc6a5ebb5cf0479accecb51ecdd88fb
|
