- Italy, Bologna
- @loretoparisi
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3D Scene Reconstruction
Audio
Audio Generation
Audio synthesisAudio Source Separation
Automatic Speech Recognition
Speech to TextBERT
Bidirectional Encoder Representations from TransformersCapsNet
Capsule Neural NetworksChinese NLP
CLIP
Contrastive Language-Image Pre-trainingComputer Vision
Elixir
Embedding
Erlang
FastText
Word2vec & FastText text embeddingsGraph Neural Networks
GNNImage Classification
Classification of imagesImage Generation
Neural generation of imagesJavaScript
Language Modeling
MIDI
NER
Named Entities RecognitionONNX
Onnx runtime and models weightsProtein Structure Prediction
Python
RL
Reinforcement Learning and AgentsRust
Search
Search EnginesSemantic Search
TensorRT
Text Classification
Wasm
Web AssemblyWord2vec
Stars
Language: Lua
Sort by: Most stars
Torch implementation of neural style algorithm
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Image-to-image translation with conditional adversarial nets
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Facebook AI Research Sequence-to-Sequence Toolkit
Lightweight Lua-based IDE for Lua with code completion, syntax highlighting, live coding, remote debugger, and code analyzer; supports Lua 5.1, 5.2, 5.3, 5.4, LuaJIT and other Lua interpreters on W…
Efficient, reusable RNNs and LSTMs for torch
Open Source Neural Machine Translation in Torch (deprecated)
Torch implementation of ResNet from http:https://arxiv.org/abs/1512.03385 and training scripts
Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
VLC extension to download subtitles from opensubtitles.org
Neural Attention Model for Abstractive Summarization
Character-level Convolutional Networks for Text Classification
Accelerating Eulerian Fluid Simulation With Convolutional Networks
Autograd automatically differentiates native Torch code
Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http:https://arxiv.org/abs/1609.04309)
This library provides utilities for creating and manipulating RNNs to model sequential data.
Implementation of http:https://arxiv.org/abs/1511.05641 that lets one build a larger net starting from a smaller one.
NeuroCSUT / DeepMind-Atari-Deep-Q-Learner-2Player
Forked from DorianKodelja/DeepMind-Atari-Deep-Q-Learner-2PlayerMultiagent Cooperation and Competition with Deep Reinforcement Learning
Code for the EACL paper "Using the Output Embedding to Improve Language Models" by Ofir Press and Lior Wolf