A TensorFlow implementation of the Differentiable Neural Computer.
The main features of deepmind/dnc are: Generative Models, Machine Learning Frameworks.
Open-source alternatives to deepmind/dnc include: abisee/pointer-generator — Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks". addtt/ladder-vae-pytorch. ai4finance-foundation/finrl — FinRL is a reinforcement learning framework designed for the development, training, and backtesting of automated… aidc-ai/omni-view — Shanshan Zhao♯ , Qing-Guo Chen , Xuerui Qiu , Jialun Liu , Zhao Xu , Weihua Luo , Kaifu Zhang , Yanye Lu♯. aiff22/dped — Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks. aaronjackson/vrn — vrn is a 3D face reconstruction tool that generates three-dimensional volumetric representations of human faces from…
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
FinRL is a reinforcement learning framework designed for the development, training, and backtesting of automated trading strategies. It functions as a quantitative finance toolkit that integrates deep learning algorithms with financial market simulations to address complex portfolio management and asset allocation tasks. The platform provides an end-to-end pipeline for transforming raw market data into actionable trading models. The project distinguishes itself through a layered, modular architecture that separates data processing, environment simulation, and agent training. This design allow
vrn is a 3D face reconstruction tool that generates three-dimensional volumetric representations of human faces from single two-dimensional images. It utilizes a volumetric convolutional neural network regression model to predict 3D volume data directly from image pixels. The system converts these volumetric predictions into 3D meshes through isosurface extraction and vertex coloring. It further applies realistic surface details by mapping two-dimensional image pixels onto the resulting 3D mesh using nearest-neighbor texture projection. The project provides capabilities for single-image dept