shervinmin / awesome-deep-learning-survey-papers
In this page, I will provide a list of survey papers on topics related to deep learning and its applications in various fields.
☆119Updated last year
Alternatives and similar repositories for awesome-deep-learning-survey-papers:
Users that are interested in awesome-deep-learning-survey-papers are comparing it to the libraries listed below
- https://slds-lmu.github.io/seminar_multimodal_dl/☆169Updated 2 years ago
- A Simplified PyTorch Implementation of Vision Transformer (ViT)☆180Updated 10 months ago
- Conference schedule, top papers, and analysis of the data for NeurIPS 2023!☆119Updated last year
- 30 Days GANs Paper Reading☆44Updated 2 years ago
- Representation Learning MSc course Summer Semester 2023☆77Updated last year
- AI Summer's complete catalog of articles☆110Updated 3 years ago
- This repository contains an overview of important follow-up works based on the original Vision Transformer (ViT) by Google.☆169Updated 3 years ago
- Solutions provided to Chip Huyen's Machine Learning Interview Book with GPT☆40Updated last year
- A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-…☆109Updated 2 years ago
- Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps☆205Updated 5 months ago
- NYU Deep Learning Fall 2022☆58Updated 7 months ago
- Self-Supervised Learning in PyTorch☆137Updated last year
- A curated list of foundation models for vision and language tasks☆991Updated last week
- Website☆53Updated 2 years ago
- ☆49Updated last year
- Personal short implementations of Machine Learning papers☆250Updated last year
- This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.☆154Updated 9 months ago
- ☆37Updated last year
- A simple implementation of Batch Normalization using pytorch.☆45Updated 4 years ago
- Probing the representations of Vision Transformers.☆324Updated 2 years ago
- Interview Questions and Answers for Machine Learning Engineer role☆119Updated 2 years ago
- Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning☆191Updated last year
- Personal implementation for Stanford CS231n / Umich: Deep Learning for Computer Vision (by Justin Johnson)☆71Updated 5 years ago
- ☆134Updated last year
- Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020☆124Updated 2 years ago
- ☆91Updated 2 years ago
- Deep Learning by deeplearning.ai | The Deep Learning Specialization is a foundational program that will help you understand the capabilit…☆90Updated 4 years ago
- ☆85Updated 7 months ago
- 👽 Out-of-Distribution Detection with PyTorch☆289Updated this week
- Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻☆451Updated 2 months ago