Rahul C

gpu_poor. Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization

llama2.c-for-dummies. Step by step explanation/tutorial of llama2.c

Weighted-low-rank-factorization-Pytorch. PyTorch implementation of Language model compression with weighted low-rank factorization

chess_vlm. Repo to test and finetune VLMs on chess tasks

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.

batched-pytorch-ksvd. Batched version of KSVD written in PyTorch that runs on GPU

gpt2_squad. GPT2 training on squad dataset

rahulschand.github.io-old. Personal website made using NextJS & tailwindcss

cs234_rl_llm. CS234 LLM + RL short guide

img_caption. Python

rahulschand.github.io. Personal Website

monosemanticity-quantization. Affect of Quantization on Monosemanticity of 1 layered Networks

Optical-Flow-Shape-Dataset. Code to create shape data set for optical flow tasks

llp-website. llp website for assignment