gosiqueira's Stars
collabnix/dockerlabs
Docker - Beginners | Intermediate | Advanced
dragen1860/MAML-TensorFlow
Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
GewelsJI/DGNet
Deep Gradient Network for Camouflaged Object Detection (MIR 2023). Our codebase supports PyTorch & Jittor & Huawei-Ascend platforms..
stefanopini/simple-HigherHRNet
Multi-person Human Pose Estimation with HigherHRNet in Pytorch, with TensorRT support
lmb-freiburg/freihand
A dataset for estimation of hand pose and shape from single color images.
Guanghan/lighttrack
LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
iterative/vscode-dvc
Machine learning experiment tracking and data versioning with DVC extension for VS Code
nalepae/pandarallel
A simple and efficient tool to parallelize Pandas operations on all available CPUs
clauswilke/dataviz
A book covering the fundamentals of data visualization
bartdag/pymining
A few data mining algorithms in pure python
cmawer/pycon-2017-eda-tutorial
Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"
rsalmei/alive-progress
A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!
drawrowfly/tiktok-scraper
TikTok Scraper. Download video posts, collect user/trend/hashtag/music feed metadata, sign URL and etc.
dragen1860/MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
shaily99/advice
A repository of links with advice related to grad school applications, research, phd etc
ilovepose/fast-human-pose-estimation.pytorch
Official pytorch Code for CVPR2019 paper "Fast Human Pose Estimation" https://arxiv.org/abs/1811.05419
pytorch/rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
vitorfrois/neural_network
Neural Network from scratch, using only Python and Numpy
guitld/sjax
Simple JAX pseudo-framework built on top of Haiku's tutorial.
biogui/bandeco-twitter-bot
[PT_BR] Bot do RU da USP-SC para o Twitter
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
resume/resume.github.com
Resumes generated using the GitHub informations
jupyter-book/jupyter-book
Create beautiful, publication-quality books and documents from computational content.
PacktPublishing/Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
AntreasAntoniou/HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
Gait3D/Gait3D-Benchmark
This is the code for the paper "Gait Recognition in the Wild with Dense 3D Representations and A Benchmark. (CVPR 2022)", "Gait Recognition in the Wild with Multi-hop Temporal Switch", and "Parsing is All You Need for Accurate Gait Recognition in the Wild".
Clarifai/few-shot-ctm
Few shot learning
huggingface/course
The Hugging Face course on Transformers
GREW-Benchmark/GREW-Benchmark
google-research/meta-dataset
A dataset of datasets for learning to learn from few examples