CUDA and Triton implementations of Flash Attention with SoftmaxN.

This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention etc in Pytorch, Tensorflow, Keras

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Official repository for "ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition" ECCV24

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

State-of-the-art 2D and 3D Face Analysis Project

The most cited deep learning papers

Suggestions for those interested in developing audio applications of machine learning

Download your Spotify playlists and songs along with album art and metadata (from YouTube if a match is found).

Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"

Code for the "PyTorch for Audio + Music Processing" series on The Sound of AI YouTube channel.

Code and slides for the "Deep Learning (For Audio) With Python" course on TheSoundOfAI Youtube channel.

🤖 Awesome list for ChatGPT — an artificial intelligence chatbot developed by OpenAI

Curated list of data science interview questions and answers

😎 Awesome lists about all kinds of interesting topics

Papers from the computer science community to read and discuss.

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

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

NVIDIA DeepStream SDK 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

Most popular metrics used to evaluate object detection algorithms.

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…

Machine Learning and Computer Vision Engineer - Technical Interview Questions

Data Science, Machine Learning, Deep Learning, NLP, Python & Library's cheat Sheet - Interview Questions & Notes

The fastai book, published as Jupyter Notebooks

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web