deep-neural-networks

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Diagrams for visualizing neural network architecture

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

A pytorch adversarial library for attack and defense methods on images and graphs

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

Machine Learning Q and AI book

A polyhedral compiler for expressing fast and portable data parallel algorithms

Collection of recent methods on (deep) neural network compression and acceleration.

Data compression in TensorFlow

Detect the programming language of a source code

Free and fully open-source L2 ADAS stack powered by End-to-End AI technology

TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.

A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

Descriptive Deep Learning

Android TensorFlow Lite Machine Learning Example

A sign language interpreter using live video feed from the camera.

A simple library for creating complex neural networks

NeuPy is a Tensorflow based python library for prototyping and building neural networks

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

A curated (most recent) list of resources for Learning with Noisy Labels

speech to text benchmark framework

Papers, code and datasets about deep learning for 3D Object Detection.

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"

Automatic 3D Character animation using Pose Estimation and Landmark Generation techniques