20 March 2019 Experiment tracking for machine and deep learning projects ModelChimp is an experiment tracker for Deep Learning and Machine Learning experiments.
29 November 2018 VIP cheatsheets for Stanford's CS 230 Deep Learning Deep Learning cheatsheets for Stanford's CS 230
26 November 2018 AI trained using Genetic Algorithm and Deep Learning to play the game of snake Neural Network Trained using Genetic Algorithm which acts as the brain for the snake.
25 November 2018 A tool that makes deep learning with Keras easier ergo (from the Latin sentence "Cogito ergo sum") is a tool that makes deep learning with Keras easier.
25 November 2018 Notes on the Deep Learning book from Ian Goodfellow Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
16 October 2018 Near Real Time CPU Face detection using deep learning CPU (Near) Real Time face detection
24 September 2018 Data augmentation libarary for Deep Learning Data augmentation libarary for Deep Learning, which supports images, segmentation masks, labels and keypoints. Furthermore, SOLT is fast and has OpenCV in its backend.
24 September 2018 Deep learning Keras models lifecycle backup/restore nano framework DL backup/restore nano framework.
23 September 2018 A paper list of object detection using deep learning A paper list of object detection using deep learning. I worte with reference to this survey paper
10 September 2018 The implementation of paper Deep Exemplar-based Colorization This is the implementation of paper Deep Exemplar-based Colorization by Mingming He*, Dongdong Chen*, Jing Liao, Pedro V.
03 September 2018 A collection of pre-trained models for state-of-the-art models in deep learning The ONNX Model Zoo is a collection of pre-trained models for state-of-the-art models in deep learning, available in the ONNX format.
27 August 2018 Utilities for preprocessing text for deep learning with Keras ktext performs common pre-processing steps associated with deep learning (cleaning, tokenization, padding, truncation).
01 August 2018 A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments Parallax is a tool that automatically parallelizes training of a single-GPU deep learning model correctly and efficiently in distributed multi-GPU environments.
30 July 2018 Minicourse in Deep Learning with PyTorch These lessons, developed during the course of several years while I've been teaching at Purdue and NYU, are here proposed for the Computational and Data Science for High Energy Physics (CoDaS-HEP) summer school at Princeton University.
22 July 2018 Scikit-learn style model finetuning for NLP Finetune ships with a pre-trained language model from "Improving Language Understanding by Generative Pre-Training" and builds off the OpenAI/finetune-language-model repository.
19 July 2018 Organized Resources for Deep Learning in Natural Language Processing Organized Resources for Deep Learning in Natural Language Processing.
15 July 2018 Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
25 June 2018 Tensorflow implementation of DeepFM for CTR prediction This project includes a Tensorflow implementation of DeepFM
15 May 2018 A fast open framework for deep learning Caffe is a deep learning framework made with expression, speed, and modularity in mind.
12 May 2018 A high-level neural networks library and capable of running on top of either TensorFlow or Theano Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation.