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🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
A simple academic poster template using pptx, for NeurIPS/ICML/ICCV.
Flash Attention from scratch, tiled CUDA forward kernel, online softmax with running max and correction factor, recomputation trick in backward, O(N) memory, full forward and backward verified agai…
This is a clean, from-scratch PyTorch implementation of the **HOPE architecture**, based on the groundbreaking paper *"Nested Learning: The Illusion of Deep Learning"* (Behrouz et al., 2024).
A curated list of Best Artificial Intelligence Resources
Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
This repo powers my experiment where ChatGPT manages a real-money micro-cap stock portfolio.
Repository for measuring the volumes of minima in different datasets to test the volume and flat minima hypotheses.
An official implementation of the paper "How Sparse Can We Prune A Deep Network: A Fundamental Limit Viewpoint".
Synthetic Data Generator for Machine Learning Pipelines
Research works from Tencent AI Lab regarding self-evolving agents
KAUST Academy Artificial Intelligence Summer 2025
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…
Omnigrok: Grokking Beyond Algorithmic Data
Exact method for visualizing partitions of a Deep Neural Network, CVPR 2023 Highlight
Deep probabilistic analysis of single-cell and spatial omics data
pytorch-tiny-imagenet
The Impact of Ethnicity on the Single-cell Immune Response to falciparum Malaria
A repository in preparation for open-sourcing lottery ticket hypothesis code.
Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective".
Code for the paper "FedFisher: Leveraging Fisher Information for One-Shot Federated Learning" by Divyansh Jhunjhunwala, Shiqiang Wang, and Gauri Joshi, published in AISTATS 2024.