anas-awadalla Goto Github PK

anas-awadalla

bendr

bff

bias-engine-landing-page

Pytorch Summer Hack Bias Engine Webapp

breast-cancer-tumor-classifier

Using the Breast Cancer Wisconsin (Diagnostic) Data Set to classify tumors as melignant or benign. Used scikit to create a RandomForestClassifier and achieved an accuracy of ~96%

clasp

CLASP - Contrastive Language-Aminoacid Sequence Pretraining

clevr-iep

Inferring and Executing Programs for Visual Reasoning

clip

Contrastive Language-Image Pretraining

coding-interview-university

A complete computer science study plan to become a software engineer.

collaborative-machine-learning

coursera-ml-course-excersices

Programming Assignments for Machine Learning Stanford Coursera Course

deep_mahalanobis_detector

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

detectron-smoke-test

dissect

Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"

dolma

Data and tools for generating and inspecting OLMo pre-training data.

fsod-code

gap-text2sql

GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

gram-ood-detection

heartrate_analysis_python

Python Heart Rate Analysis Package, for both PPG and ECG signals

img2dataset

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

kaggle-titanic-survivor-predictor

Kaggle challenge: Using real data about passengers of the titanic, predicts if a person on the titanic would survive the crash based on factors such as age, gender, and type of tickets among other features

laion.ai

libradocs.github.io

Documentation site for libra.

machine-learning-interview-questions

This repository is to prepare for Machine Learning interviews.

memphis.ai

A chat bot to create a custom Pytorch model training pipeline using natural language

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

mtts-can

Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement (NeurIPS 2020)

multilingual-clip

OpenAI CLIP text encoders for multiple languages!

notebooks

Notebooks using the Hugging Face libraries 🤗