Lists (3)
Stars
A native PyTorch Library for large model training
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"
This is a repo with links to everything you'd ever want to learn about data engineering
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
The most cited deep learning papers
Listing of papers about machine learning for proteins.
This repository contains demos I made with the Transformers library by HuggingFace.
A collection of learning resources for curious software engineers
Solve puzzles. Improve your pytorch.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Paper Lists for Graph Neural Networks
Machine Learning and Computer Vision Engineer - Technical Interview Questions
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
PhyCV: The First Physics-inspired Computer Vision Library
A playbook for systematically maximizing the performance of deep learning models.
An ultra-simplified explanation to design patterns
An opinionated list of awesome Python frameworks, libraries, software and resources.
Automatic extraction of relevant features from time series:
Educational materials on deep learning by Weights & Biases
All Algorithms implemented in Python