neural-network
Repositories (1345)
A python library that makes AMR parsing, generation and visualization simple.
FasterAI: Prune and Distill your models with FastAI and PyTorch
推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-ta...
A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs
Implementation of the paper: Text Segmentation as a Supervised Learning Task
VeriSilicon Tensor Interface Module
DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021
Experimental tensor-typed deep learning
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
An end-to-end machine learning and data mining framework on Hadoop
A modern deep learning framework built to accelerate research and development of AI systems
Transfer Learning library for Deep Neural Networks.
Test-time Local Converter
Visualisation tool for CNNs in pytorch
The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artifi...
Powerful Powerful Machine Learning library with GPU, CPU and WASM backends
Neural Network that detects in-video YouTube sponsorships.
Awesome Gesture Generation
Sandbox for graphics paper implementation
🧠 AI powered image tagger backed by DeepDetect
Implementing multilayer neural networks through backpropagation using Java.
A python program to detect and classify hand pose using deep learning techniques
A superhuman chess engine.
ConvNet learns to play Need For Speed
Neural Network in Rust
a list of pappers in deep learning for new-comes.
My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.
Pure C# machine learning framework
A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functio...
Toolkit to obtain and preprocess German text corpora, train models and evaluate them with generated testsets. Built with Gensim and Tensorflow.
Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)
A Keras CTC implementation of Baidu's DeepSpeech for model experimentation
Detailed python notes & code for lectures and exercises of Andrej Karpathy's course "Neural Networks: Zero to Hero." The course is focused on building...
A stable algorithm for GAN training
Aquí tienes un acordeón no oficial de la certificación AI-900 Microsoft Certified: Azure AI Fundamentals. Espero te sirva para aprobar tu certificació...
Low-complexity neural image & video codec.
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
The pytorch code of the paper "Intrinsic Image Popularity Assessment"
Sentence Classifications with Neural Networks
Add Dendrites to your PyTorch Project
End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo
Explore the energy-efficient dataflow scheduling for neural networks.
Text Classification through CNN, RNN & HAN using Keras
Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN...
A deep learning framework created from scratch with Python and NumPy
Biologically based neural network simulations of the brain written in Go with a 3D GUI powered by Cogent Core.
Toolkit to Hack Your Deep Learning Models