PyTorch implementation of adversarial attacks [torchattacks]

A pytorch implementation of "Intriguing properties of neural networks"

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

This collection of beginner-friendly LeetCode problems. This repository features easy-to-understand solutions that are constantly updated for improved performance. Whether you're a coding novice or…

A playbook for systematically maximizing the performance of deep learning models.

High-Resolution Image Synthesis with Latent Diffusion Models

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

Easiest 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, a…

List of papers about Proteins Design using Deep Learning

Collection of bioinformatics training materials

GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics

LM-GVP: A Generalizable Deep Learning Framework for Protein Property Prediction from Sequence and Structure

Official release of the ProGen models

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

Pen and paper exercises in machine learning

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

Testing foam

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

CMView: protein contact map visualization and analysis

trRosetta for protein design

Deep learning infrastructure for genomics

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

Hands-on Deep Reinforcement Learning, published by Packt

paper-list of learning-based mobile navigation(especially motion planning & awareness)

Python ROS Bridge library