quantylab/rltrader
quality grade C, 55 out of 100파이썬과 케라스를 이용한 딥러닝/강화학습 주식투자 - 퀀트 투자, 알고리즘 트레이딩을 위한 최첨단 해법 입문 (개정판)
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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,686 results
파이썬과 케라스를 이용한 딥러닝/강화학습 주식투자 - 퀀트 투자, 알고리즘 트레이딩을 위한 최첨단 해법 입문 (개정판)
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
PERT: Pre-training BERT with Permuted Language Model
Deep Learning and Logical Reasoning from Data and Knowledge
https://www.nytimes.com/2018/03/15/nyregion/bike-lane-blocked-new-york.html
An intuitive approach to creating deep learning models
Machine learning models for time series analysis
Awesome Domain Adaptation Python Toolbox
Neural networks toolbox focused on medical image analysis
Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection
Tensorflow implementation of CycleGAN
A Tensorflow Tiny Face Detector, implementing "Finding Tiny Faces"
Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI
⛔️ DEPRECATED - The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.
Generic framework for historical document processing
Reimplementation of CycleGAN
Implementation of the ScreenAI model from the paper: "A Vision-Language Model for UI and Infographics Understanding"
tensorflow学习笔记,来源于电子书:《Tensorflow实战Google深度学习框架》
Sequence to sequence learning using TensorFlow.
About JARVIS-Tools: an open-source software package for data-driven atomistic materials design. Publications: https://scholar.google.com/citations?user=3w6ej94AAAAJ https://www.youtube.com/@dr_k_choudhary
DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of chemical structure images. Leveraging transformer architectures, the model converts chemical images into SMILES strings, enabling the digitization of chemical data from scanned documents, literature, and patents.
CTR模型代码和学习笔记总结
TensorFlow implementation of original paper : https://github.com/hszhao/PSPNet
Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
24,523 repositories in the index in total.