soheilesm

walkwithfastai.github.io

Host for https://walkwithfastai.com

transformers

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

makemore

An autoregressive character-level language model for making more things

notebooker

Productionise & schedule your Jupyter Notebooks as easily as you wrote them.

awesome-zero-knowledge-proofs

A curated list of awesome things related to learning Zero-Knowledge Proofs (ZKP).

h-transformer-1d

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

long-text-token-classification

lit

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

Wiki-KG

ticktock

Simple Python code metering library

clip-retrieval

Easily compute clip embeddings and build a clip retrieval system with them

swift

Swift for TensorFlow

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

metaflow

:rocket: Build and manage real-life ML, AI, and data science projects with ease!

rustlings

:crab: Small exercises to get you used to reading and writing Rust code!

dm_pix

PIX is an image processing library in JAX, for JAX.

acquisition_example

Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function

active-learning

SentenceRepresentation

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tfjs-models

Pretrained models for TensorFlow.js

models

Models and examples built with TensorFlow

pycontractions

Intelligently expand and create contractions in text leveraging grammar checking and Word Mover's Distance.

tez

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

C4_200M-synthetic-dataset-for-grammatical-error-correction

This dataset contains synthetic training data for grammatical error correction. The corpus is generated by corrupting clean sentences from C4 using a tagged corruption model. The approach and the dataset are described in more detail by Stahlberg and Kumar (2021) (https://www.aclweb.org/anthology/2021.bea-1.4/)

pytorch_active_learning

PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book