ml-d Goto Github PK

101-rs

A Rust university course

a-tour-of-pytorch-optimizers

A tour of different optimization algorithms in PyTorch.

acl-2020-papers

Statistics and Accepted paper list of ACL 2020 with arXiv link

aim

Aim — an easy-to-use and performant open-source experiment tracker.

authorextractor

Source code for the Medium article "Extracting the author of news stories with DOM-based segmentation and BERT"

awesome-dl-projects

This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-public-datasets

A topic-centric list of HQ open datasets.

awesome-rl-for-cybersecurity

A curated list of resources dedicated to reinforcement learning applied to cyber security.

awesome-seml

A curated list of articles that cover the software engineering best practices for building machine learning applications.

awesome-technical-debt

A curated list of Technical Debt talks, articles and books.

benchmark_dataset_for_graph_classification

This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.

cade

Compass-aligned Distributional Embeddings. Align embeddings from different corpora

calendargnn

Author: Daheng Wang ([email protected]). KDD'20. Modeling temporal graphs.

catz

A machine learning contest to predict the behavior of catz

code-transformer

Implementation of the paper "Language-agnostic representation learning of source code from structure and context".

code_search

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

codesearchnet

Datasets, tools, and benchmarks for representation learning of code.

cs-video-courses

List of Computer Science courses with video lectures.

cs224n-winter17-notes

Course notes for CS224N Winter17

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

diffusion-models-class

Materials for the Hugging Face Diffusion Models Course

doom-emacs-cheat-sheet

This is a cheat sheet for doom emacs, mostly from the guides I see online.

dynamicword2vec

Dynamic Word Embeddings for Evolving Semantic Discovery code.

e-dom

Epsilon domination

examples

Example deep learning projects that use wandb's features.

gcloud

Google Cloud tutorial and setup

gcn_metric_learning

Metric Learning with Graph Convolutional Neural Networks

git-statistics

gnnpapers

Must-read papers on graph neural networks (GNN)