mlelarge / dataflowr-slidesLinks
slides for deep learning courses
☆19Updated 4 years ago
Alternatives and similar repositories for dataflowr-slides
Users that are interested in dataflowr-slides are comparing it to the libraries listed below
Sorting:
- A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019☆28Updated 5 years ago
- The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney☆36Updated 4 years ago
- List of papers that applied graph network to NLP☆13Updated 6 years ago
- Tutorial on Automated Machine Learning at KDD 2020☆55Updated 5 years ago
- Large Scale BERT Distillation☆33Updated 2 years ago
- Code for KDD CUP 2019 Auto-ML track☆21Updated 6 years ago
- ☆31Updated 6 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆57Updated 5 years ago
- Repository for group 17 on the Statistical Natural Language Processing module at UCL☆22Updated 4 years ago
- Learning from Graphs: From Mathematical Principles to Practical Tools☆11Updated 4 years ago
- TensorFlow 2.* exercises from the book "Deep Learning with Python" by François Chollet☆48Updated 4 years ago
- An open source python library for automated prediction engineering☆44Updated 4 months ago
- NS-CQA: the model of the JWS paper 'Less is More: Data-Efficient Complex Question Answering over Knowledge Bases.' This work has been acc…☆22Updated 4 years ago
- Simple and efficient tools for data science.☆12Updated last year
- Learning from graph data using Keras☆64Updated 6 years ago
- 使用Python复现SIGKDD2017的PAMAE算法(并行k-medoids算法)/The Python implementation of SIGKDD 2017's PAMAE algorithm (parallel k-medoids algorithm)☆33Updated 5 years ago
- RASA wrapper for HMTL: Hierarchical Multi-Task Learning☆29Updated 6 years ago
- This website is to host a series of tutorials on Deep Learning on Graphs for Natural Language Processing.☆13Updated 3 years ago
- learn some Machine Learning algorithm with python☆13Updated 6 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 3 years ago
- ☆19Updated 6 years ago
- Colab notebooks for d2l-book☆11Updated 5 years ago
- Deep Emotion Analysis with Elastic and PyTorch☆16Updated 6 years ago
- This project demonstrates the use of generic bi-directional LSTM models for predicting importance of words in a spoken dialgoue for under…☆10Updated 2 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 9 years ago
- Spark projects. Learning book "Machine Learning with Spark"☆10Updated 8 years ago
- Tensorflow port implementation of Single Headed Attention RNN☆16Updated 5 years ago
- A selection of my papers on topics ranging from Bayesian non-parametrics, Determinantal point process, Real-time computer vision, Deep le…☆24Updated 4 years ago
- ☆83Updated 4 years ago
- Federated Learning Infra Architecture on Kubernetes(EKS)☆19Updated 5 years ago