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231a_zoom

Exploring what makes a convincing computational dolly zoom.

alpha_tutor

A GPT-powered tutor

assignment1-miniapl-release

Implementing a small, dense array language using LLVM.

cyclic-nns

Cyclic connections in neural nets explored

fetch_upn

Data-collection code for DPN paper, meant to run on the Fetch Manipulator robot.

gcn

Exploring globally-connected neural networks

glebbibbase.github.io

BibBase Example Page

gpt-neox

An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library. Designed to be able to train models in the hundreds of billions of parameters or larger.

gradslam

gradslam is an open source differentiable dense SLAM library for PyTorch

grouplatentembedding

Pytorch implementation of "Group Latent Embedding for Vector Quantized Variational Autoencoder in Non-Parallel Voice Conversion" [Interspeech 2019]

her_react

React front-end for HER

hex

langchain

⚡ Building applications with LLMs through composability ⚡

linear_motor

ncsn

Noise Conditional Score Networks

octopus

This is Octopus open source material

portfolio

pybot

It's like ROS but built on Python using ZeroMQ + Redis

pytorch-eventprop

A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks

sdfgen

A simple commandline utility to generate grid-based signed distance field (level set) generator from triangle meshes, using code from Robert Bridson's website.

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains.

surreal

Learning from Synthetic Humans, CVPR 2017

torch_boilerplate

Starter boilerplate for using torch + lightning

tsdf-fusion-python

Python code to fuse multiple RGB-D images into a TSDF voxel volume.

waiter

ONNX remote model inference.