iovdin

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

google-research

Google Research

swc

Rust-based platform for the Web

evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

numba

NumPy aware dynamic Python compiler using LLVM

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

StarSpace

Learning embeddings for classification, retrieval and ranking.

darts

Differentiable architecture search for convolutional and recurrent networks

transformer-xl

nmslib

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

DeepFashion2

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

ARC

The Abstraction and Reasoning Corpus

sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

tdb

Interactive, node-by-node debugging and visualization for TensorFlow

FALCONN

FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)

BinaryNet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

XNOR-Net

ImageNet classification using binary Convolutional Neural Networks

RelativisticGAN

Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"

QuaterNet

Proposes neural networks that can generate animation of virtual characters for different actions.

kepler-mapper

Kepler Mapper: A flexible Python implementation of the Mapper algorithm.

stn.pytorch

pytorch version of spatial transformer networks

namedtensor

Named Tensor implementation for Torch

torchnca

A PyTorch implementation of Neighbourhood Components Analysis.

CoordConv-pytorch

Pytorch implementation of CoordConv introduced in 'An intriguing failing of convolutional neural networks and the CoordConv solution' paper. (https://arxiv.org/pdf/1807.03247.pdf)

FaRL

FaRL for Facial Representation Learning [Official, CVPR 2022]

guided-evolutionary-strategies

Guided Evolutionary Strategies

annoy-node

Node bindings for Annoy, an efficient Approximate Nearest Neighbors implementation written in C++.

flickr-cropping-dataset

A dataset that includes photos downloaded from Flickr and annotations that indicates a local window representing a good composition.

vq-vae-pytorch

VQ-VAE implementation pytorch