neural-network
Repositories (1342)
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine lear...
Easily train or fine-tune SOTA computer vision models with one open source training library
A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
TensorFlow models accelerated with NVIDIA TensorRT
Multi-object trackers in Python
BetaGo: AlphaGo for the masses, live on GitHub.
人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题
Deep neural network framework for multi-label text classification
A collection of stand-alone Python machine learning recipes
This is a bunch of code to port Keras neural network model into pure C++.
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
A TensorFlow.js based AI player platform for T-Rex Runner. T-Rex Runner is originally an easter egg game inside chrome.
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)
A stock trading bot that uses machine learning to make price predictions.
GPU environment and cluster management with LLM support
Simple A3C implementation with pytorch + multiprocessing
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide yo...
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
MICA - Towards Metrical Reconstruction of Human Faces [ECCV2022]
Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)
👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)
Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
Medical image registration using deep learning
📘 The experiment tracker for foundation model training
(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH
Keras.NET is a high-level neural networks API for C# and F#, with Python Binding and capable of running on top of TensorFlow, CNTK, or Theano.
DiffSharp: Differentiable Functional Programming
Neural Turing Machines (NTM) - PyTorch Implementation
Classify music genre from a 10 second sound stream using a Neural Network.
🤖 A portable, header-only, artificial neural network library written in C99
Draw multi-layer neural network in your browser
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
Notes for Deep Learning Specialization Courses led by Andrew Ng.
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro...
A collection of datasets that pair questions with SQL queries.
Framework of fast implementation data processing and operating pipelines
PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)
On-device Neural Engine
A simplified framework and utilities for PyTorch
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes...
PyTorch implementation of bayesian neural network [torchbnn]
Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2...
Artificial Neural Network
A library for high performance deep learning inference on NVIDIA GPUs.
TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network interatomic potentials. It was or...