Sumith1896

motion2prog_release

This repository contains the code for the paper "Hierarchical Motion Understanding via Motion Programs"

spoc

Official code release of our NeurIPS '19 paper "SPoC: Search-based Pseudocode to Code"

ldif

3D Shape Representation with Local Deep Implicit Functions.

pl-papers

My favorite PL papers

skosette

Reimplementation of the Skolem function generation using Rosette

AlphaPose

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

aws-launcher

Helper scripts to launch large scale AWS jobs

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

detr

End-to-End Object Detection with Transformers

diffseg

Differentiable Segmentation of Sequences

dotfiles

Personal dotfiles for Linux

gan-examples

icml2017hierchvid

Tensorflow implementation of the ICML 2017 paper: Learning to Generate Long-term Future via Hierarchical Prediction

Jacinle

Personal python toolbox.

neurocuber

NeuroCuber: training NeuroSAT to make cubing decisions for hard SAT problems

OpenNMT-py

Open Source Neural Machine Translation in PyTorch

p3viz

Sumith's personal visualization server

pix2pix_pytorch

PyTorch re-implementation of "Image-to-Image Translation with Conditional Adversarial Nets"

ppp

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-sepconv

an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch(Backward Implemented)

pytorchvideo

A deep learning library for video understanding research.

recreational-rosette

Some fun examples of solving problems with symbolic execution

refdb

Stores paper references, outputs to bib/html, does basic sanity checking on bib entries

sopython-site

The website for the Python chat room on Stack Overflow

syncro

Synthesis of Incremental Operations

taming-transformers

Taming Transformers for High-Resolution Image Synthesis

test-private

VQ-VAE-Speech

PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]

wrangl

Parallel data preprocessing for NLP and ML.