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alphageometry

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

awesome-courses

:books: List of awesome university courses for learning Computer Science!

bootstrap-table-examples

Bootstrap table examples

brownian_dynamics_parallel_implementation

Code to do Brownian Dynamics in parallel using Cilk/OpenMP. Also, some MPI implementations included

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

cc

Just checking

cglad

A consensus based clustering algorithm

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

chi_square_classifier

A new Machine learning classifier for class imbalance problem

cholesky-decomposition

class-imbalance-hd

Handling high-dimensional class imbalance using NGM

conditional-flow-matching

TorchCFM: a Conditional Flow Matching library

conn

Cooperative Neural Networks

conv-visualizations

A technical report on convolution arithmetic in the context of deep learning

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

db_course_stanford_winter2013

Core set exercises on DB course by Stanford Uni

deepnet

Implementation of some deep learning algorithms.

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

discrete-optimization-001

Coursera Discrete Optimization course programming assignments source code

discrete_optimization

Mix of MIP, LP, CP, DP etc.

double_gated_mosfet

dvg

Diverse Video Generation using a Gaussian Process Trigger

engrain

ensemble models for combining GRNs from different methods

generative-kaleidoscopic-networks

Create a kaleidoscope based on a dataset

glad

GLAD: Learning Sparse Graph Recovery

glfrontiers.github.io

"New Frontiers in Graph Learning (GLFrontiers)" NeurIPS 2022 workshop proposal

graphnn

Training computational graph on top of structured data (string, graph, etc)