thehimalayanleo
Ajinkya Mulay is a PhD student in the Electrical and Computer Engineering department of Purdue University. Previously an undergrad at IIT Hyderabad in EE.
West Lafayette, IN, USA
thehimalayanleo's Stars
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
helix-editor/helix
A post-modern modal text editor.
karpathy/LLM101n
LLM101n: Let's build a Storyteller
eugeneyan/applied-ml
đź“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.
ml-explore/mlx
MLX: An array framework for Apple silicon
state-spaces/mamba
Mamba SSM architecture
marimo-team/marimo
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
vincelwt/chatgpt-mac
ChatGPT for Mac, living in your menubar.
mbrlabs/Lorien
Infinite canvas drawing/whiteboarding app for Windows, Linux and macOS. Made with Godot.
huggingface/alignment-handbook
Robust recipes to align language models with human and AI preferences
lxieyang/chrome-extension-boilerplate-react
A Chrome Extensions boilerplate using React 18 and Webpack 5.
openai/weak-to-strong
UdaraJay/Pile
Desktop app for digital journaling.
superlistapp/super_editor
A Flutter toolkit for building document editors and readers
leanprover-community/mathlib3
Lean 3's obsolete mathematical components library: please use mathlib4
BruceMacD/chatd
Chat with your documents using local AI
thebrowsercompany/swift-winrt
Swift Language Projection for WinRT
pyg-team/pytorch-frame
Tabular Deep Learning Library for PyTorch
fredrikekre/Literate.jl
Simple package for literate programming in Julia
cloneofsimo/minRF
Minimal implementation of scalable rectified flow transformers, based on SD3's approach
rahulvigneswaran/Lottery-Ticket-Hypothesis-in-Pytorch
This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.
menisadi/awesome-differential-privacy
list of differential-privacy related resources
ethz-spylab/rlhf_trojan_competition
Finding trojans in aligned LLMs. Official repository for the competition hosted at SaTML 2024.
ramhiser/datamicroarray
A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.
safr-ai-lab/survey-llm
A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code
thestephencasper/benchmarking_interpretability
vidalt/DRAFT
DRAFT : Dataset Reconstruction Attack From Trained ensembles. Source code associated with the paper "Trained Random Forests Completely Reveal your Dataset (ICML'24, forthcoming)" authored by Julien Ferry, Ricardo Fukasawa, Timothée Pascal, and Thibaut Vidal
nelaturuharsha/TurboPrune
Harness for training/finding lottery tickets in PyTorch. With support for multiple pruning techniques and augmented by distributed training, FFCV and AMP.
aparna-aketi/global_update_tracking
eth-sri/Delta-Siege