877 Open source projects that are alternatives of or similar to Deep Learning Papers

📚 Papers and essays I like

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

chemical graph theory library for JavaScript

Curated list of awesome GAN applications and demo

A simple configurable bot for sending arXiv article alert by mail

语音识别理论，论文和PPT

This is a collection of papers and other resources related to fairness.

Papers on Computational Advertising

Alethia peer to peer publishing platform

Deep Learning for humans

Tensors and differentiable operations (like TensorFlow) in Rust

All the slides, accompanying code and exercises all stored in this repo. 🎈

Cheminformatics formulae for the Homebrew package manager

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

The 4th Annual American Museum of Natural History Hackathon produced by the BridgeUP: STEM program

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

Companion repo to the GitBook, notes on Data Science topics

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

Software Papers as Software Modules: Towards a Culture of Reusable Results

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

Analysing Capture Seq Count Data

a toolkit for pose estimation using deep learning

List of awesome papers on Polarization Imaging

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

🎓Repository for university labs on FAMCS, BSU

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Codes for weekly challenges on Deep Learning by Siraj

Applying Data Science and Machine Learning to Solve Real World Business Problems

a simple script to assist in making a clean directory to upload to arxiv

Gradient based Hyperparameter Tuning library in PyTorch

A compilation of game dev related media (podcasts, Youtube, article, books, etc..)

Dilated CNNs for NER in TensorFlow

Multi-dimensional data arrays with labeled dimensions

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

OpenFLUID framework and applications

LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)

Benchmark Suite for Machine Learning Interatomic Potentials for Materials

18.S096 - Applications of Scientific Machine Learning

NLP & imageについて幅広くサーベイする。

A library for advanced finite element computations in Rust

This repository hosts my reading notes for academic papers.

NLP 和机器学习论文中文翻译

A track of papers I read

Japanese Riichi Mahjong AI agent. (Feel free to extend this agent or develop your own agent)

An analysis and visualization platform for 'omics data

Hummingbird compiles trained ML models into tensor computation for faster inference.

a payment application intended for deployment by the united states treasury

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

SIRIUS is a software for discovering a landscape of de-novo identification of metabolites using tandem mass spectrometry. This repository contains the code of the SIRIUS Software (GUI and CLI)

The author's officially unofficial PyTorch BigGAN implementation.

Periodum: An Interactive, Open-Source Periodic Table!

Deep Learning for Seismic Imaging and Interpretation

A collection of research and application papers of (uncertainty) calibration techniques.

Papers and Datasets about Point Cloud.

Keras for Science

Academic papers and articles that I read related to web hacking, fuzzing, etc. / 阅读过的Web安全方向、模糊测试方向的一些论文与阅读笔记

Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

Documentation, references, and collected academic research for the cuteOS Kernel.

A list of NLP resources focused on event extraction task

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.