kashif

firedup

Clone of OpenAI's Spinning Up in PyTorch

ICLR2022-OpenReviewData

Crawl & visualize ICLR papers and reviews.

node-geos

GEOS (Geometry Engine) bindings for Node.js

cuda-workshop

Code examples for the CUDA workshop

AccelerationMonograph

Autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

CL_Timeseries

CSDI

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

TabPFN

Official implementation of the TabPFN and the tabpfn package.

DALLE2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

ema-pytorch

A simple way to keep track of an Exponential Moving Average (EMA) version of your pytorch model

examples

TensorFlow examples

flair

A very simple framework for state-of-the-art NLP

gradio

Create UIs for your machine learning model in Python in 3 minutes

ml-ways

ML/DL Math and Method notes

objax

pandoc-latex-template

A pandoc LaTeX template to convert markdown files to PDF or LaTeX.

pymde

Minimum-distortion embedding

pyro

Deep universal probabilistic programming with Python and PyTorch

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-forecasting

Time series forecasting with PyTorch

pytorch-ts-1

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

state-spaces

Sequence Modeling with Structured State Spaces

torchscale

Transformers at any scale

triton

Development repository for the Triton language and compiler

TSForecasting

This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.

WOODS

A set of Out-of-Distribution Generalization Benchmarks for Sequential Prediction Tasks