williamberrios Goto Github PK
Name: William Berrios
Type: User
Company: contextual.ai
Bio: 🦙 Engineer @ContextualAI. Past: CBMM-MIT, EVL-UIC, UNI
Twitter: w33lliam
Location: Lima, Peru
Name: William Berrios
Type: User
Company: contextual.ai
Bio: 🦙 Engineer @ContextualAI. Past: CBMM-MIT, EVL-UIC, UNI
Twitter: w33lliam
Location: Lima, Peru
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.
Applied Deep Learning Course
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Top 5 Solution to Datathon Entel - Object Detection
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Top1 solution to the Data Science Challenge organized by BNP-Paribas and Domino Datalab
A framework for evaluating models on integrative brain measurements
Code from the paper "Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4" in BSW at Cosyne 2022
[kaggle] 3rd place solution :herb:
chaii: hindi and tamil question answering
Reproduce CKA: Similarity of Neural Network Representations Revisited
Contrastive Language-Image Pretraining
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
How to Win a Data Science Competition: Learn from Top Kagglers
LaTeX Curriculum Vitae template (filled with my personal info, extendable to anyone)
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"
Notebooks from our series of blogpost about Deep Reinforcement Learning
𝗗𝗦𝗣: Demonstrate-Search-Predict. A framework for composing retrieval and language models for knowledge-intensive NLP.
Code to share different ensemble techniques with focus on meta-stacking , using data from Amazon.com - Employee Access Challenge kaggle competition
[ICLR 2020] A repository for extremely fast adversarial training using FGSM
Feature exploration for supervised learning
PyTorch Implementation of Adversarial Training for Free!
Collection of common code that's shared among different research projects in FAIR computer vision team.
Solution to Ventilator Pressure Prediction Competition (https://www.kaggle.com/c/ventilator-pressure-prediction)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.