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stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stock-trading-visualization

A simple, yet elegant visualization of our stock trading RL agent environment.

stockindex500

Trend Prediction for High Frequency Trading

stocks

Programs for stock prediction and evaluation

strong_baseline_of_pedestrian_attribute_recognition

a solid and strong baseline of pedestrian attribute recognition

stronger-yolo

Improve yolo with latest paper

stronger-yolo-1

🔥Improve yolo with latest paper

tensor-stream

A library for real-time video stream decoding to CUDA memory

tensorflow-iris-classification

Neural network for classifying irises in TensorFlow

tensorflow-tutorial

Some interesting TensorFlow tutorials for beginners.

tensorflow-tutorials-chinese

TensorFlow 中文教程 (Chinese Tutorials)

tensorflow-vgg

VGG19 and VGG16 on Tensorflow

tensorflow-yolo-v3

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

tensorflow-yolov3

🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

tensorlayer

Deep Learning and Reinforcement Learning Library for Scientists

tensorrt-centernet

tensorrt5 , centernet , centerface

tensorrt_demos

Some examples demonstrating how to optimize caffe/tensorflow models with TensorRT and run real-time inferencing with the optimized TensorRT engines

tensorrt_pro

C++ library based on tensorrt integration

tensorrt_pro_co-comments

tensorrtcv

tensorrtx

Implementation of popular deep learning networks with TensorRT network definition APIs

tf-facenet

forked from tensorflow facenet

tf-keras-surgeon

Pruning and other network surgery for trained TF.Keras models.

tf-pruning

Practise pruning and utilising model sparsity in tensorflow.

tf_ssd

tf_ssd-1

tf_ssd-2

tflearn

Deep learning library featuring a higher-level API for TensorFlow.

tinyssd

TensorFlow implementation of TinySSD: https://arxiv.org/pdf/1802.06488.pdf