kumsh

K. Umesh's starred repositories

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

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brain.js

🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js

Language:TypeScriptMIT14355 245 602

CycleGAN

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

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tflearn

Deep learning library featuring a higher-level API for TensorFlow.

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rawgraphs-app

A web interface to create custom vector-based visualizations on top of RAWGraphs core

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techniques

Techniques for deep learning with satellite & aerial imagery

Apache-2.08494 272 23

Data-Analysis

Data Science Using Python

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nevergrad

A Python toolbox for performing gradient-free optimization

Language:PythonMIT3942 58 264

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

MIT3620 175 17

dcos

DC/OS - The Datacenter Operating System

Language:PythonApache-2.02354 940

moderngpu

Patterns and behaviors for GPU computing

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ganlab

GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks

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codalab-competitions

CodaLab Competitions

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DeepHyperX

Deep learning toolbox based on PyTorch for hyperspectral data classification.

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torchsat

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

Language:PythonMIT391 20 10

deeprm

Resource Management with Deep Reinforcement Learning (HotNets '16)

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Origami

:unlock: :key: :closed_lock_with_key: Origami: Artificial Intelligence as a Service

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examples

DC/OS examples

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teach-data-science-UCLA-master-appl-stats

Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA

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NumPyANN

Implementation of Artificial Neural Networks using NumPy

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car_detection_yolo_faster_rcnn_uvsc2019

This repo contains all the source code and dataset used in the paper Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3

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