deep-neural-networks

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

LPIPS metric. pip install lpips

Scalable and user friendly neural :brain: forecasting algorithms.

oneAPI Deep Neural Network Library (oneDNN)

This is Andrew NG Coursera Handwritten Notes.

校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

JAX-based neural network library

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

Flops counter for neural networks in pytorch framework

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

List of papers, code and experiments using deep learning for time series forecasting

A curated list of resources for Learning with Noisy Labels

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Deep neural network to extract intelligent information from invoice documents.

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

The Fastest DNN Running Framework on Web Browser

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch

Deep learning in Rust, with shape checked tensors and neural networks

Top 200 deep learning Github repositories sorted by the number of stars.

Collection of google colaboratory notebooks for fast and easy experiments

A PyTorch library and evaluation platform for end-to-end compression research

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

Tensorflow Backend for ONNX

A collection of resources on applications of Transformers in Medical Imaging.

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch