Lasagne/Lasagne
quality grade D, 46 out of 100Lightweight library to build and train neural networks in Theano
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Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,688 results
Lightweight library to build and train neural networks in Theano
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
A neural network that transforms a design mock-up into a static website.
PyTorch implementation of bayesian neural network [torchbnn]
CoreNet: A library for training deep neural networks
仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层;以及图像分类案例及精调网络案例等,持续更新中... ...
collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning
Investigating PINNs
DyNet: The Dynamic Neural Network Toolkit
Learning Convolutional Neural Networks with Interactive Visualization.
Paper Lists for Graph Neural Networks
This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
RLGF is a general training framework suitable for UAV deep reinforcement learning tasks. And integrates multiple mainstream deep reinforcement learning algorithms(SAC, DQN, DDQN, PPO, Dueling DQN, DDPG).
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
The Hugging Face Course on Transformers for Audio
😇A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc
Minimalistic 4D-parallelism distributed training framework for education purpose
Minimalistic large language model 3D-parallelism training
A customisable 3D platform for agent-based AI research
Code for "DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures". https://arxiv.org/abs/1803.08606
24,522 repositories in the index in total.