aflah02
Researching @MPI-SWS, @EleutherAI & @LCS2-IIITD | Prev Summer Analyst @goldmansachs | GSoC'22 @TensorFlow | Senior @IIIT-Delhi
Indraprastha Institute of Information Technology DelhiDelhi
Pinned Repositories
BackTranslation-Based-Data-Augmentation
cleansetext
This is a simple library to help you clean your textual data
Distributed-KV-Store-Using-RAFT-with-Leader-Lease
This project presents a Distributed Key-Value Store implemented using the Raft Consensus Algorithm with Leader Lease. Leveraging the reliability and fault tolerance offered by Raft, the system ensures consistent data replication and fault recovery across a distributed network of nodes.
Easy-Data-Augmentation-Implementation
My Implementation for the paper EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks using Tensorflow
GSOC_Report
A report for the work I did during my Google Summer of Code 2022 Project with TensorFlow
Humans-v-s-LLM-Benchmarks
LLM Benchmarks play a crucial role in assessing the performance of Language Model Models (LLMs). However, it is essential to recognize that these benchmarks have their own limitations. This interactive tool is designed to engage users in a quiz game based on popular LLM benchmarks, offering an insightful way to explore and understand them
SemWiseResourcesIIIT
Semester Wise Resource Collection for Various Courses at IIIT Delhi
The_Will_Hero_Game
The Will Hero Game - Adaptation of the popular game Will Hero by ZPlay for our Advanced Programming Course (CSE201) using JavaFX and OOPS Concepts alongside curating UML/Usecase Diagrams
pythia
The hub for EleutherAI's work on interpretability and learning dynamics
keras-nlp
Modular Natural Language Processing workflows with Keras
aflah02's Repositories
aflah02/SemWiseResourcesIIIT
Semester Wise Resource Collection for Various Courses at IIIT Delhi
aflah02/Combating_Hate_Scalably
Vote! Don’t Retrain: Combating Hate in a Scalable Way. This work is an attempt at SemEval 2019 (Task 6) and 2020 (Task 12) Subtask A which aim to perform Binary Classification to identify Offensive Tweets
aflah02/Hope_Speech_Detection
Hope Speech Detection (Shared Task from Workshop on Language Technology For Equality, Diversity, Inclusion Shared Task (LT-EDI) in 2021 and 2022) using Machine Learning & Deep Learning
aflah02/The-Art-of-Embedding-Fusion-Optimizing-Hate-Speech-Detection
aflah02/IIITD-TT-Builder
Quickly Build Your TimeTable :)
aflah02/IR_Assignments
aflah02/DL_Assignments
aflah02/DSc_Project
aflah02/Humans-v-s-LLM-Benchmarks
LLM Benchmarks play a crucial role in assessing the performance of Language Model Models (LLMs). However, it is essential to recognize that these benchmarks have their own limitations. This interactive tool is designed to engage users in a quiz game based on popular LLM benchmarks, offering an insightful way to explore and understand them
aflah02/Distributed-KV-Store-Using-RAFT-with-Leader-Lease
This project presents a Distributed Key-Value Store implemented using the Raft Consensus Algorithm with Leader Lease. Leveraging the reliability and fault tolerance offered by Raft, the system ensures consistent data replication and fault recovery across a distributed network of nodes.
aflah02/aflah02
aflah02/aflah02.github.io
Personal Website
aflah02/CFG_Generator
aflah02/cuda-mode-lectures
Material for cuda-mode lectures
aflah02/DSc-Assignments
aflah02/DSCD_Assignments
aflah02/FLAD
Few-shot Learning with Auxiliary Data
aflah02/Freezing-FT-Correctness-Plots
aflah02/lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
aflah02/Memorization_FT_Exp_Setup
aflah02/Memorization_Plots
aflah02/MultipleHeadFT
aflah02/PalindromeMLP
aflah02/RL-Project
aflah02/sglang
SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with models faster and more controllable.
aflah02/Site-Deprecated-Feb-2024
My Old Personal Website
aflah02/triton
Development repository for the Triton language and compiler
aflah02/Triton-Learning
aflah02/Varint-Encoding
aflah02/WN_Assignments