Alexandre Brown (AlexandreBrown)

AlexandreBrown

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Company:Mila - Quebec AI Institute

Location:Canada,Montreal

Home Page:https://alexandrebrown.github.io/

Twitter:@AlexandreBrown0

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Alexandre Brown's starred repositories

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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vision

Datasets, Transforms and Models specific to Computer Vision

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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garnet

Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.

minbpe

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

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lab

A customisable 3D platform for agent-based AI research

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flax

Flax is a neural network library for JAX that is designed for flexibility.

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AppImageLauncher

Helper application for Linux distributions serving as a kind of "entry point" for running and integrating AppImages

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ignite

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

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diffusion

Denoising Diffusion Probabilistic Models

torchinfo

View model summaries in PyTorch!

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pgadmin4

pgAdmin is the most popular and feature rich Open Source administration and development platform for PostgreSQL, the most advanced Open Source database in the world.

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IsaacLab

Unified framework for robot learning built on NVIDIA Isaac Sim

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TD3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

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D4RL

A collection of reference environments for offline reinforcement learning

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open-gpu-kernel-modules

NVIDIA Linux open GPU with P2P support

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nitrite-java

NoSQL embedded document store for Java

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Gymnasium-Robotics

A collection of robotics simulation environments for reinforcement learning

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drqv2

DrQ-v2: Improved Data-Augmented Reinforcement Learning

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litdata

Transform datasets at scale. Optimize datasets for fast AI model training.

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float8_experimental

This repository contains the experimental PyTorch native float8 training UX

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torchsnapshot

A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind.

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subobjects

Official repository of paper "Subobject-level Image Tokenization"

leap

Official codebase for LEAP: Planning with Goal Conditioned Policies

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google-research

Google AI Research

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VisualTDM

Deep Reinforcement Learning PyTorch Implementation of Temporal Difference Models extended to images using latent representation

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