David Cardozo (Davidnet)

Davidnet

Geek Repo

Company:@updata-ca

Location:Quebec Canada

Home Page:https://www.davidcardozo.com

Twitter:@_davidcardozo

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Organizations
ai-is-all-you-need
AsyncDefenders
CerberusData
kiwibot-data
KiwibotDataAI
kubeflow
ml-gde
poets-ai
updata-ca

David Cardozo's starred repositories

transformers

πŸ€— Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Language:PythonLicense:Apache-2.0Stargazers:124936Issues:1092Issues:14609

awesome-cto

A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

RustPython

A Python Interpreter written in Rust

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:12700Issues:114Issues:1777

nvitop

An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

Language:PythonLicense:Apache-2.0Stargazers:3954Issues:21Issues:76

diffusion-models-class

Materials for the Hugging Face Diffusion Models Course

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:3216Issues:104Issues:21

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

Language:PythonLicense:Apache-2.0Stargazers:2994Issues:39Issues:225

diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

Language:PythonLicense:Apache-2.0Stargazers:1230Issues:20Issues:258

optax

Optax is a gradient processing and optimization library for JAX.

Language:PythonLicense:Apache-2.0Stargazers:1193Issues:27Issues:150

Genesis

God's actual programming language.

Language:JavaLicense:NOASSERTIONStargazers:1143Issues:27Issues:15

fast-depth

ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"

Language:PythonLicense:MITStargazers:902Issues:32Issues:69

jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX.

Language:PythonLicense:Apache-2.0Stargazers:888Issues:19Issues:196

dynamax

State Space Models library in JAX

Language:Jupyter NotebookLicense:MITStargazers:615Issues:23Issues:176

jax-cfd

Computational Fluid Dynamics in JAX

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:576Issues:15Issues:23
Language:PythonLicense:Apache-2.0Stargazers:450Issues:18Issues:37

vertex-ai-mlops

Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:396Issues:22Issues:23

MyST-NB

Parse and execute ipynb files in Sphinx

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:196Issues:12Issues:276

maxim-tf

Implementation of MAXIM in TensorFlow.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:122Issues:5Issues:14

imagenetx

understanding model mistakes with human annotations

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:102Issues:0Issues:0

GCWeb

Canada.ca theme - A reference implementation of the Canada.ca Content and Information Architecture Specification, the Canada.ca Content Style Guide and the Canada.ca Design System

Language:HTMLLicense:NOASSERTIONStargazers:90Issues:39Issues:633
Language:Jupyter NotebookLicense:Apache-2.0Stargazers:87Issues:5Issues:22

ciclo

A functional training loops library for JAX

Language:PythonLicense:MITStargazers:82Issues:3Issues:9
Language:PythonLicense:Apache-2.0Stargazers:71Issues:5Issues:0

kernex

Stencil computations in JAX

Language:PythonLicense:MITStargazers:59Issues:1Issues:9

jax_metrics

A metrics library for the JAX ecosystem

Language:PythonLicense:MITStargazers:35Issues:4Issues:2

gpt-jax

Jax/Flax rewrite of Karpathy's nanoGPT

Language:PythonLicense:MITStargazers:33Issues:3Issues:4

jax_tpu_docker

Provides a Docker image for running JAX on TPU VMs. This repository contains the necessary files to build the Docker image and run JAX on TPUs with ease, making it easy for researchers to take advantage of the power of TPUs for their machine learning projects.

Language:DockerfileLicense:MITStargazers:11Issues:0Issues:0
Language:Jupyter NotebookStargazers:3Issues:2Issues:0
Language:Jupyter NotebookStargazers:1Issues:1Issues:0