deep-neural-networks

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

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.

PyTorch implementation of Super SloMo by Jiang et al.

List of articles related to deep learning applied to music

Udacity Self-Driving Car Engineer Nanodegree projects.

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

Learning Chinese Character style with conditional GAN

Deep neural network to extract intelligent information from invoice documents.

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

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

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

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L

List of awesome resources for machine learning-based algorithmic trading

🚀 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

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.