AmeerAnsari

cvxpylayers

Differentiable convex optimization layers

dlvcnptel

Tutorials for DLVC NPTEL MOOC

hcrn-videoqa

Implementation for the paper "Hierarchical Conditional Relation Networks for Video Question Answering" (Le et al., CVPR 2020, Oral)

semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

tensorflow-recipes

A collection of TensorFlow (Tensorpack) implementations of recent deep learning approaches including pretrained models. (FlowNet 2, PWC, PointNet, EnhanceNet)

3d-photo-inpainting

[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting

Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt

anijs

A Library to Raise your Web Design without Coding.

bulma-dashboard

Bulma dashboard

CNTK

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

deepLearningBook-Notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

deocclusion

Code for our CVPR 2020 work.

editor.js

A block-styled editor with clean JSON output

ePillID-benchmark

ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

Gradient-Centralization

A New Optimization Technique for Deep Neural Networks

hybrids

👾 Web Components from plain objects and pure functions!

keras

Deep Learning for humans

machinelearning-samples

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

OpenCV-4-Computer-Vision-with-Python-Recipes

plover

Open source stenotype engine

Preprocessing-for-deep-learning

This is the notebook associated with the blog post:

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

pwa-weather

Minimal Weather PWA: Offline, Push Notification and Web Payments

seq2seq_bot

Designing dialogue systems: A mean, grumpy, sarcastic chatbot in the browser

shiny

🌟 Shiny reflections for mobile websites

ss-ood

Self-Supervised Learning for OOD Detection (NeurIPS 2019)

stat479-machine-learning-fs19

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

vagrant-lamp

webportal

This is the registration and login modules fronted. the pages and according data shall be put as we create the pages such as classes and noticeboard