Torch

vllmvllm-project/vllm

A high-throughput, memory-efficient inference and serving engine for large language models (LLMs).

Face recognition with Google's FaceNet deep neural network.cmusatyalab/openface

A free and open-source face recognition library using deep neural networks for research and applications.

NeuralTalkkarpathy/neuraltalk2

Efficient image captioning code in Torch, using a CNN-RNN model to generate captions for images, optimized for GPU training.

Warp-CTCbaidu-research/warp-ctc

A fast parallel implementation of the Connectionist Temporal Classification (CTC) loss function for CPU and GPU.

The original code from the DeepMind article + tweakskuz/DeepMind-Atari-Deep-Q-Learner

Original DeepMind DQN 3.0 implementation for Atari game reinforcement learning, with community tweaks.

CyberBattleSimmicrosoft/CyberBattleSim

An experimentation platform for training and researching automated agents in abstract simulated enterprise network environments using reinforcement learning.

nntorch/nn

A modular neural network package for Torch providing building blocks for creating and training deep learning models.

Torchnet - Torch based Deep Learning Librarytorchnet/torchnet

A modular framework for Torch providing abstractions for datasets, engines, meters, and logs to encourage code re-use.

Applied Deep Learning for Computer Vision with Torchsoumith/cvpr2015

CVPR 2015 workshop materials for learning deep learning and computer vision with Torch framework.

autogradtwitter/torch-autograd

Autograd automatically differentiates native Torch code, enabling automatic gradient computation for machine learning models.

Torch code for Visual Question Answering using a CNN+LSTM modelabhshkdz/neural-vqa

A Torch implementation of a VIS+LSTM model for answering questions about images using deep learning.

nngraphtorch/nngraph

A Torch package for creating and visualizing complex neural network architectures using graph-based computation.

captcha.irctcarunpatala/captcha.irctc

A deep learning model that reads IRCTC captchas with 98% accuracy, demonstrating their vulnerability to automated booking.

cunntorch/cunn

CUDA backend implementation for Torch's neural network package, enabling GPU acceleration for deep learning models.

optimtorch/optim

A collection of optimization algorithms and logging utilities for Torch machine learning models.

captchaarunpatala/captcha

A Torch-based deep learning project for breaking CAPTCHA systems using CNN and RNN architectures.

Rockpoolsynsense/rockpool

A Python library for building, training, and deploying spiking neural networks with support for multiple simulation backends and neuromorphic hardware.

LSTM for Kaggle EEG Detection competition (Torch Code)apaszke/kaggle-grasp-and-lift

Trains LSTM and CNN models for EEG-based grasp-and-lift detection using Kaggle competition data.

cephesdeepmind/torch-cephes

A Torch wrapper for the Cephes mathematical functions library, providing special mathematical functions for scientific computing.

graphtorch/graph

A graphical computation package for Torch that enables graph-based operations and visualization.

Training a Convnet for the Galaxy-Zoo Kaggle challenge(CUDA demo)soumith/galaxyzoo

A convolutional neural network solution for the GalaxyZoo galaxy classification challenge, achieving 9th place with a score of 0.08246.

randomkitdeepmind/torch-randomkit

Provides Lua/Torch bindings for the Randomkit library, enabling random number generation from various statistical distributions.

Learning Torch GitHub Repochetannaik/learning_torch

A personal learning repository for implementing neural networks and machine learning models using Torch in Lua.

Atari2600fidlej/aledataset

Scripts to generate a dataset with static frames from the Arcade Learning Environment for Atari games.

Neural-Wikipedianpvougiou/Neural-Wikipedian

A neural network system that generates English Wikipedia-style biographies from Semantic Web triples using encoder-decoder models.

saliencymarcoscoffier/torch-saliency

A Torch library for computing saliency maps and interest points using fast integral histograms based on Kadir 2004.

kernel smoothingrlowrance/kernel-smoothers

Implementation of kernel smoothers (KNN, kernel-weighted average, local linear regression) in Lua for statistical learning.