radu-diaconescu13

mlc-llm

Universal LLM Deployment Engine with ML Compilation

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

stat_rethinking_2023

Statistical Rethinking Course for Jan-Mar 2023

udlbook

Understanding Deep Learning - Simon J.D. Prince

optimate

A collection of libraries to optimise AI model performances

coding-interview-university

A complete computer science study plan to become a software engineer.

did-it-spill

Check if you have training samples in your test set

NewPipe

A libre lightweight streaming front-end for Android.

techniques

Techniques for deep learning with satellite & aerial imagery

torchstudio

IDE for PyTorch and its ecosystem

ffcv

FFCV: Fast Forward Computer Vision (and other ML workloads!)

CS1332

🏛 GT Data Structure & Algorithms (Spring 2019)

composer

Supercharge Your Model Training

awesome-piracy

A curated list of awesome warez and piracy links

pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

omscs-notes-notes

The raw markdown notes for OMSCS Notes.

segmenter

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

transformer-deploy

Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀

data-centric-ai

Resources for Data Centric AI

ClassMix

PixelSSL

A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks [ECCV 2020]

programming-math-science

This is a list of links to different freely available learning resources about computer programming, math, and science.

captum

Model interpretability and understanding for PyTorch

pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

sparseml

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

lightly

A python library for self-supervised learning on images.

PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.