How to Quickly Train a Text-Generating Neural Network for Free
http://minimaxir.com/2018/05/text-neural-networks/
http://minimaxir.com/2018/05/text-neural-networks/
Minimaxir
How to Quickly Train a Text-Generating Neural Network for Free
Train your own text-generating neural network and generate text whenever you want with just a few clicks!
Google Landmark Retrieval Challenge (1st Place Writeup)
https://www.kaggle.com/c/landmark-retrieval-challenge/discussion/57855
https://www.kaggle.com/c/landmark-retrieval-challenge/discussion/57855
PyTorch-YOLOv3: Minimal implementation of YOLOv3 in PyTorch
https://github.com/eriklindernoren/PyTorch-YOLOv3
https://github.com/eriklindernoren/PyTorch-YOLOv3
GitHub
GitHub - eriklindernoren/PyTorch-YOLOv3: Minimal PyTorch implementation of YOLOv3
Minimal PyTorch implementation of YOLOv3. Contribute to eriklindernoren/PyTorch-YOLOv3 development by creating an account on GitHub.
Text summarization with Tensorflow
https://github.com/thomasschmied/Text_Summarization_with_Tensorflow
https://github.com/thomasschmied/Text_Summarization_with_Tensorflow
GitHub
thomasschmied/Text_Summarization_with_Tensorflow
Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles. - thomasschmied/Text_Summarization_with_Tensorflow
RL-Adventure-2: PyTorch4 tutorial of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
https://github.com/higgsfield/RL-Adventure-2
https://github.com/higgsfield/RL-Adventure-2
GitHub
GitHub - higgsfield-ai/higgsfield: Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed…
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters - higgsfield-ai/higgsfield
Simple Image Colorization in PyTorch
https://lukemelas.github.io/image-colorization.html
https://lukemelas.github.io/image-colorization.html
Simple Tensorflow implementation of text summarization using seq2seq library
https://github.com/dongjun-Lee/text-summarization-tensorflow
https://github.com/dongjun-Lee/text-summarization-tensorflow
GitHub
GitHub - dongjun-Lee/text-summarization-tensorflow: Tensorflow seq2seq Implementation of Text Summarization.
Tensorflow seq2seq Implementation of Text Summarization. - dongjun-Lee/text-summarization-tensorflow
A visual introduction to machine learning, Part II: Model Tuning and the Bias-Variance Tradeoff
http://www.r2d3.us/visual-intro-to-machine-learning-part-2/
http://www.r2d3.us/visual-intro-to-machine-learning-part-2/
www.r2d3.us
A visual introduction to machine learning, Part II
Learn about bias and variance in our second animated data visualization.
Minimal tensorflow VAE implementation
https://github.com/adler-j/minimal_vae
https://github.com/adler-j/minimal_vae
GitHub
GitHub - adler-j/minimal_vae: A minimal implementation of an Variational Auto-Encoder
A minimal implementation of an Variational Auto-Encoder - GitHub - adler-j/minimal_vae: A minimal implementation of an Variational Auto-Encoder
Complete World Models implementation in Chainer
https://github.com/AdeelMufti/WorldModels
https://github.com/AdeelMufti/WorldModels
GitHub
AdeelMufti/WorldModels
WorldModels - Full World Models Implementation in Chainer
Tell Me Where To Look( Guided Attention Inference Network )
https://github.com/alokwhitewolf/Guided-Attention-Inference-Network
https://github.com/alokwhitewolf/Guided-Attention-Inference-Network
GitHub
alokwhitewolf/Guided-Attention-Inference-Network
Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation. -...
kaggle: IEEE's Camera Model Identification
https://habr.com/company/ods/blog/415571/
https://habr.com/company/ods/blog/415571/
Habr
kaggle: IEEE's Camera Model Identification
В конце зимы этого года прошло соревнование IEEE's Signal Processing Society — Camera Model Identification. Я участвовал в этом командном соревновании в качестве ментора. Об альтернативном способе...
Updates to the XGBoost GPU algorithms
https://xgboost.ai/2018/07/04/gpu-xgboost-update.html
https://xgboost.ai/2018/07/04/gpu-xgboost-update.html
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks
https://github.com/sebastianruder/NLP-progress
https://github.com/sebastianruder/NLP-progress
GitHub
GitHub - sebastianruder/NLP-progress: Repository to track the progress in Natural Language Processing (NLP), including the datasets…
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks. - sebastianruder/NLP-progress
Simple Tensorflow implementation of RelativisticGAN
https://github.com/taki0112/RelativisticGAN-Tensorflow
https://github.com/taki0112/RelativisticGAN-Tensorflow
GitHub
taki0112/RelativisticGAN-Tensorflow
Simple Tensorflow implementation of RelativisticGAN - taki0112/RelativisticGAN-Tensorflow
PythonRobotics: Implementation of various algorithms (SLAM, mapping, path planning and tracking) for robot navigation
https://atsushisakai.github.io/PythonRobotics/
https://atsushisakai.github.io/PythonRobotics/
The natural language decathlon benchmark to do well on ten different nlp tasks including question answering, translation, summarization, sentiment analysis by Salesforce research team.
https://einstein.ai/research/the-natural-language-decathlon
https://einstein.ai/research/the-natural-language-decathlon
Salesforce Research
Blog posts by Salesforce Research
Microsoft Research announced Open Data project! This single, cloud-hosted location offers datasets representing many years of data curation and research efforts by Microsoft.
https://www.microsoft.com/en-us/research/blog/announcing-microsoft-research-open-data-datasets-by-microsoft-research-now-available-in-the-cloud/
https://www.microsoft.com/en-us/research/blog/announcing-microsoft-research-open-data-datasets-by-microsoft-research-now-available-in-the-cloud/
Microsoft Research
Announcing Microsoft Research Open Data - Datasets by Microsoft Research now available in the cloud - Microsoft Research
The Microsoft Research Outreach team has worked extensively with the external research community to enable adoption of cloud-based research infrastructure over the past few years. Through this process, we experienced the ubiquity of Jim Gray’s fourth paradigm…
Udacity has published a github repo for the Deep Reinforcement Learning Nanodegree program
https://github.com/udacity/deep-reinforcement-learning
https://github.com/udacity/deep-reinforcement-learning
GitHub
GitHub - udacity/deep-reinforcement-learning: Repo for the Deep Reinforcement Learning Nanodegree program
Repo for the Deep Reinforcement Learning Nanodegree program - udacity/deep-reinforcement-learning