Rahul Shiv Chand (@RahulSChand)
github

RahulSChand

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  • Stars
    star
    617
  • Global Rank 48,086 (Top 2 %)
  • Followers 14
  • Registered almost 9 years ago
  • Most used languages
    Python
         62.5 %
    JavaScript
         25.0 %
    C
         12.5 %

Top repositories

1

gpu_poor

Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization
JavaScript
426
star
2

llama2.c-for-dummies

Step by step explanation/tutorial of llama2.c
C
175
star
3

Multi-Granularity-Hierarchical-Attention-Fusion-Networks-for-Question-Answering---TensorFlow

TensorFlow implementation of the "Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering" paper by Alibaba.
Python
8
star
4

Weighted-low-rank-factorization-Pytorch

PyTorch implementation of Language model compression with weighted low-rank factorization
Python
3
star
5

Optical-Flow-Shape-Dataset

Code to create shape data set for optical flow tasks
Python
1
star
6

rahulschand.github.io

Personal website made using NextJS & tailwindcss
JavaScript
1
star
7

batched-pytorch-ksvd

Batched version of KSVD written in PyTorch that runs on GPU
Python
1
star
8

CapsFlow-Optical-Flow-Estimation-with-Capsule-Networks

Code for my paper CapsFlow: Optical Flow Estimation with Capsule Networks
Python
1
star