neural-network
Repositories (1342)
Solve captcha without manually labeling a training set
Open source inference code for Rev's model
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
A header-only C++ library for deep neural networks
This provides a sandbox simulator for training a self-driving car. This uses Unity for simulation and Python with Keras and Tensorflow for training. R...
C# Yolo Darknet Wrapper (real-time object detection)
The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.
深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……
SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute incomplete time...
Deep Neural Network Library for JavaScript.
Text Classification Library in Keras
A visual-based graph node editor for training computer vision models.
Parallel Hyperparameter Tuning in Python
Repository for the "Machine Learning for the Web" class at ITP, NYU
EQTransformer, a python package for earthquake signal detection and phase picking using AI.
A flexible artificial neural network builder to analyse performance, and optimise the best model.
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
Speech Enhancement Generative Adversarial Network in PyTorch
Open Neural Network Exchange to C compiler.
A neural network architecture for NLP tasks, using cython for fast performance. Currently, it can perform POS tagging, SRL and dependency parsing.
FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)
Keras tutorial for beginners (using TF backend)
WIP Library Text To Speech From Suno AI's Bark in C/C++ for fast inference
感规控：神经网络原理
A complete GPT language model (training and inference) in ~600 lines of pure C#, zero dependencies
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Differentiable Point Cloud Sampling (CVPR 2020 Oral)
Udacity's Deep Learning Nano Foundation program.
Sequence to sequence learning using TensorFlow.
A curated list of all machine learning algorithms and deep learning algorithms grouped by category.
Weekly report and awesome list of embedded-ai.
Code for my medium article
Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs.
A neural network Swift playground, with no third party dependencies.
Machine Learning Lectures at the European Space Agency (ESA) in 2018
One-click training of your own GPT. Training a GPT has never been easier for beginners. / 一键预训练+SFT一个属于自己的LLM，0基础训练GPT原来可以这么简...
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PC...
Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera
An Open-Source Machine Learning Framework in Rust Δ
Machine learning models for time series analysis
Learning to track eye movement in the browser
The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing system...
Tool that predicts the outcome of a Dota 2 game using Machine Learning
A Convolutional Neural Network implemented from scratch (using only numpy) in Python.
An easy to use C# deep learning library with CUDA/OpenCL support
NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python