benjamesbabala Goto Github PK

deep_architect

DeepArchitect: Automatically Designing and Training Deep Architectures

deep_cnn

Deep convolution neural network project with TensorFlow

deep_complex_networks

Implementation related to the Deep Complex Networks

deep_gitstats

Based on SciPy's normalized git stats, adapted for Deep Learning frameworks

deep_learning_ex

Deep learning examples

deep_learning_object_detection

A paper list of object detection using deep learning.

deep_object_pose

Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

deep_ocr

make a better chinese character recognition OCR than tesseract

deep_portfolio

deep_q

Deep reinforcement learning with TensorFlow

deep_qa

Using deep learning to answer Aristo's science questions

deep_recommend_system

Deep learning recommend system with TensorFlow

deep_rl_ale

An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deep_srl

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

deep_white_balance

Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.

deepstreet

Traffic Sign Recognition - Fine tuning VGG16 + GTSRB

deepterrainrl

terrain-adaptive locomotion skills using deep reinforcement learning

deeptraffic-solution

My solution to dieeptraffic contest

deepvel

DeepVel

deepvideoanalytics

Analyze videos & images, perform detections, index frames & detected objects, search by examples.

deepvideodeblurring

S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, O. Wang. Deep Video Deblurring. CVPR 2017, Spotlight (to appear)

deepvis-preddiff

Visualizing Deep Neural Network Decisions: Prediction Difference Analysis

deepvoice

Deep Voice: Real-time Neural Text-to-Speech

defisheye

Fast Corrects for fisheye distortion in an image.

deformable-convolution-pytorch

PyTorch implementation of Deformable Convolution

deft

Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object detection network. An LSTM is also added to capture motion constraints.

dehaze

dehazenet

DehazeNet: An End-to-End System for Single Image Haze Removal

dehazenet-1

an end to end dehaze tools