RazvanPasca

courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

deepdoctection

A Repo For Document AI

open_llama

OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

IF

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

RecSys2019_DeepLearning_Evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

Transformer-Clinic

Understanding the Difficulty of Training Transformers

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

DeepCriticalLearning

Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-tips

segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

website

Source for https://fullstackdeeplearning.com

vision_transformer

engineering-management

A collection of inspiring resources related to engineering management and tech leadership

chart-doctor

Sample files to accompany the FT's Chart Doctor column

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

GNNPapers

Must-read papers on graph neural networks (GNN)

tfx

TFX is an end-to-end platform for deploying production ML pipelines

public

Software Engineering course materials from EPFL

2020

Materials for Applied Data Analysis CS-401, fall 2020

datascience

Curated list of Python resources for data science.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

neural-processes

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

vit-explain

Explainability for Vision Transformers

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more