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ml-lab's Projects

dali-1 icon dali-1

A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

dalle-mini icon dalle-mini

DALL·E Mini - Generate images from a text prompt

dancenet icon dancenet

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

danet icon danet

Dual Attention Network for Scene Segmentation (CVPR2019)

dapl icon dapl

Autoencoder network for imputing missing values

dapn icon dapn

A pytorch implementation of "Domain-Adaptive Few-Shot Learning"

darkflow icon darkflow

translate darknet to tensorflow. Load trained weights, retrain/fine-tune them using tensorflow, export constant graph def to C++

darknet2ncnn icon darknet2ncnn

Darknet2ncnn converts the darknet model to the ncnn model

darkpose icon darkpose

Distribution-Aware Coordinate Representation for Human Pose Estimation

darksight icon darksight

Interpreting Deep Classifier by Visual Distillation of Dark Knowledge

darqn icon darqn

Deep Attention Recurrent Q-Network

darts icon darts

Differentiable architecture search for convolutional and recurrent networks

dashboard icon dashboard

Utilities and monitors for machine learning experiments, web client included.

dask-ml icon dask-ml

Distributed and parallel machine learning

dast icon dast

A novel adversarial substitute training for adversarial attacks

data icon data

Task delegability data collected from surveys

data-projector icon data-projector

Visualizing High-Dimensional Data in the Browser with SVD, t-SNE and Three.js

data-science-ipython-notebooks icon data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, Spark, Hadoop MapReduce, HDFS, matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

data-tag icon data-tag

Tags textual data using NLTK and Open Data from Wikipedia.

datalab icon datalab

Interactive tools and developer experiences for Big Data on Google Cloud Platform.

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