Erin (hchings)

hchings

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stable-diffusion-webui

Stable Diffusion web UI

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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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, ... 🧠

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black

The uncompromising Python code formatter

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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mlflow

Open source platform for the machine learning lifecycle

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Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

sentence-transformers

State-of-the-Art Text Embeddings

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flash-attention

Fast and memory-efficient exact attention

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conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

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lime

Lime: Explaining the predictions of any machine learning classifier

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Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

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vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

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denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

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auto-sklearn

Automated Machine Learning with scikit-learn

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bertviz

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

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NYU-DLSP20

NYU Deep Learning Spring 2020

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awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

qgrid

An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks

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uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

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mpitutorial

MPI programming lessons in C and executable code examples

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TensorRT-Model-Optimizer

TensorRT Model Optimizer is a unified library of state-of-the-art model optimization techniques such as quantization, pruning, distillation, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed on NVIDIA GPUs.

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Awesome-U-Net

Official repo for Medical Image Segmentation Review: The Success of U-Net

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DiffSketcher

[NIPS 2023] Official implementation for "DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models" https://arxiv.org/abs/2306.14685

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workshops

This is a repository for all workshop related materials.

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amazon-sagemaker-mlflow-fargate

Managing your machine learning lifecycle with MLflow and Amazon SageMaker

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sagemaker-feature-store-cross-account-access-sts

This repo details all the steps needed to create cross-account access roles, policies and permissions for enabling shareability of features between accounts A and B using Amazon SageMaker Feature Store and AWS Security Token Service (STS).

Language:Jupyter NotebookLicense:MIT-0Stargazers:5Issues:26Issues:0