Pinned Repositories
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
pytorchvideo
ranking
Learning to Rank in TensorFlow
rat-sql
A relation-aware semantic parsing model from English to SQL
recmetrics
A library of metrics for evaluating recommender systems
resolutions-2019
A list of data mining and machine learning papers that I implemented in 2019.
role2vec
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
scikit-learn-contrib
scikit-learn compatible projects
Seq2Seq-PyTorch
Sequence to Sequence Models with PyTorch
SimGNN
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Machine Learning Bookmarks's Repositories
ML-d/rat-sql
A relation-aware semantic parsing model from English to SQL
ML-d/role2vec
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
ML-d/SimGNN
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
ML-d/101-rs
A Rust university course
ML-d/aim
Aim — an easy-to-use and performant open-source experiment tracker.
ML-d/awesome-public-datasets
A topic-centric list of HQ open datasets.
ML-d/awesome-rl-for-cybersecurity
A curated list of resources dedicated to reinforcement learning applied to cyber security.
ML-d/cade
Compass-aligned Distributional Embeddings. Align embeddings from different corpora
ML-d/code-transformer
Implementation of the paper "Language-agnostic representation learning of source code from structure and context".
ML-d/cs-video-courses
List of Computer Science courses with video lectures.
ML-d/diffusion-models-class
Materials for the Hugging Face Diffusion Models Course
ML-d/Doom-Emacs-Cheat-Sheet
This is a cheat sheet for doom emacs, mostly from the guides I see online.
ML-d/examples
Example deep learning projects that use wandb's features.
ML-d/GraKeL
A scikit-learn compatible library for graph kernels
ML-d/graph_classification
Training GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels
ML-d/machine-learning-courses
A collection of machine learning courses.
ML-d/Multi-Task-Learning-PyTorch
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
ML-d/NeuralPDA
Link to paper: https://aashishyadavally.github.io/files/C5.pdf
ML-d/Project_CodeNet
This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX
ML-d/python-change-miner
A tool for mining graph-based change patterns in Python code
ML-d/pytorch-Deep-Learning
Deep Learning (with PyTorch)
ML-d/sparse_dot_topn
Python package to accelerate the sparse matrix multiplication and top-n similarity selection
ML-d/TagGen
A Data-Driven Graph Generative Model for Temporal Interaction Networks
ML-d/TigeCMN
Learning Temporal Interaction Graph Embedding via Coupled Memory Networks (WWW-2020)
ML-d/tnm
ML-d/toolformer-pytorch
Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI
ML-d/topictiling
TopicTiling is a text segmentation method that is based on LDA
ML-d/tree-sitter-codeviews
Extract and combine multiple source code views using tree-sitter
ML-d/twec
Training Temporal Word Embeddings with a Compass
ML-d/wikidetox
Experiments to help discussion on Wikipedia talk pages