AhlCV

robustbench

RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Pyfhel

PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in Python, with NumPy compatibility. Uses SEAL/PALISADE as backends, implemented using Cython.

PySyft

Perform data science on data that remains in someone else's server

CNSBench

learn2learn

A PyTorch Library for Meta-learning Research

Head-First-Design-Patterns

Code for the book Head First Design Patterns by Eric Freeman & Elizabeth Freeman

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

design-patterns

[WIP] Assignments for the course of Design Patterns by University of Alberta on Coursera

devops-workshop-2020

DevOps Workshop for Software Engineers 2020

Lloseng

Java code from Textbook Object-Oriented Software Engineering

Roadmap-to-become-a-professional-Software-Engineer

au-companies-providing-work-visa-sponsorship

Australian companies that provide work visa (and/or relocation) to their employees (mainly tech).

cornell-cs5785-2020-applied-ml

Teaching materials for the applied machine learning course at Cornell Tech (online edition)

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

awesome-cv

Curated educational list for computer vision

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

imaml

Reproduction of the IMAML paper

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Hands-On-Meta-Learning-With-Python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Machine-Learning-for-Imbalanced-Data

Machine Learning for Imbalanced Data, published by Packt

fusilli

A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸

Awesome-MLOPS

All the available resources to master MLOPS from scratch

Awesome-Text-to-Image

(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.

Diffusion-Models-Papers-Survey-Taxonomy

Diffusion model papers, survey, and taxonomy