🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

📺 Discover the latest machine learning / AI courses on YouTube.

Must-read papers on graph neural networks (GNN)

Jupyter metapackage for installation and documentation

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

A PyTorch implementation of EfficientNet

A collection of sample agents built with Agent Development Kit (ADK)

AI Toolkit for Healthcare Imaging

Collection of leetcode company tag problems. Periodically updating.

A concise but complete full-attention transformer with a set of promising experimental features from various papers

Awesome Knowledge Distillation

A python library for self-supervised learning on images.

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

PyTorch for Semantic Segmentation

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

[ACL 2024 🔥] Video-ChatGPT is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted fo…

A list of NLP(Natural Language Processing) tutorials

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding b…

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention"

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

Paper bank for Self-Supervised Learning

NLP 101: a resource repository for Deep Learning and Natural Language Processing

An elaborate and exhaustive paper list for Named Entity Recognition (NER)