Stars
Basics of 2D and 3D Human Pose Estimation.
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
Example implementation running Airflow as separate services with docker-compose.
Airflow training for the crunch conf
A curated list of data engineering tools for software developers
Implementation of 'A Neural Compositional Paradigm for Image Captioning' by B. Dai, S.Fidler, D. Lin
Latex code for making neural networks diagrams
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
TensorFlow convolutional recurrent neural network (CRNN) for text recognition
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
A curated list of awesome test automation frameworks, tools, libraries, and software for different programming languages. Sponsored by https://zapple.tech and https://automated-testing.info
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Deep-Learning Model Exploration and Development for NLP
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way
PyTorch Tutorial for Deep Learning Researchers
Model analysis tools for TensorFlow
A script to find and delete duplicate images using pHash.
Information Retrieval Course 2017 - MSc Artificial Intelligence @ UvA
A curated list of awesome embedding models tutorials, projects and communities.
Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)
Content Based Image Retrieval with Binary Hash Code (Python, C++)
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Cracking the Coding Interview 6th Ed. Python Solutions
Keras implementation of a CNN network for age and gender estimation
A curated list of awesome places to learn and/or practice algorithms.
PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
TensorFlow template application for deep learning
REx: Relation Extraction. Modernized re-write of the code in the master's thesis: "Relation Extraction using Distant Supervision, SVMs, and Probabalistic First-Order Logic"