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awesome-deep-learning-papers

The most cited deep learning papers

cdg

Change Detection in a sequence of Graphs

distilling-the-knowledge-in-neural-network

Teaches a student network from the knowledge obtained via training of a larger teacher network

introstatlearn

Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.

kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

new-grad-2024

👋 Hey there new grad🎉! We've put together a collection of full-time job openings for SWE, Quant, PM and tech roles in 2024! 🚀

paddlespatial

PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

ruptures

ruptures: change point detection in Python

soft-decision-tree

pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"

sta-138

sta-260-project-1

sta135-s2022

summer2022-internships

Collection of Summer 2022 tech internships!

torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.