sarvghotra Goto Github PK

accgdss

Accelerated SDE Samplers for Molecular Graph Generation

actormimic

Train an RL agent to play multiple Atari games at once

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

awesome-courses

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

awesome-rl

Reinforcement learning resources curated

blip

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

caffe

Caffe: a fast open framework for deep learning.

collude-app

Remote mobile screen sharing for facilitating planning using handwritten text and shapes.

ddpg

Implementation of Deep Deterministic Policy Gradients using TensorFlow, compatible with the OpenAI Gym

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

download-manager

A basic download manager to download http files, developed in java.

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

endpoints.jl

firefox-ui-tests

fitnets

FitNets: Hints for Thin Deep Nets

glide-text2im

GLIDE: a diffusion-based text-conditional image synthesis model

googledlcourse

Assignments and other works related to the Deep Learning course by Google on Udacity

guided-diffusion

gym

A toolkit for developing and comparing reinforcement learning algorithms.

http.jl

HTTP for Julia

hyperrim

image2lmdb

Convert image folder to lmdb, adapted from Efficient-PyTorch

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

julia

The Julia Language: A fresh approach to technical computing.

kaggle_ndsb2

3rd place solution for the second kaggle national datascience bowl

kair

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

minitorch_module-0

This introductory module is focused on introducing several core technologies used for testing and debugging in future modules, and also includes some basic mathematical foundations. In this module, you will start to build up some of the infrastructure for MiniTorch.

minitorch_module-1

Module 1 - Autodifferentiation

minitorch_module-2

This module, part of Minitorch (Prototype of PyTorch) lib, implements a tensor object. Tensors group together many repeated operations to save Python overhead and to pass off grouped operations to faster implementations.

mnist-distill

An example application of neural network distillation to MNIST