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

Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

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

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supportin…

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Reading list for research topics in multimodal machine learning

MLX: An array framework for Apple silicon

✨✨Latest Advances on Multimodal Large Language Models

[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

A curated list of neural network pruning resources.

All Algorithms implemented in Python

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (p…

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive arch…

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

This repository focus on Image Captioning & Video Captioning & Seq-to-Seq Learning & NLP

Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.

A python library for self-supervised learning on images.

A curated list of awesome self-supervised methods

Paper bank for Self-Supervised Learning

👩‍💻👨‍💻 AI 엔지니어 기술 면접 스터디 (⭐️ 1k+)

SOTA Semantic Segmentation Models in PyTorch

Datasets, Transforms and Models specific to Computer Vision

Image Classification Code Implementation with Paper Review