Stars
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
Code and documentation to train Stanford's Alpaca models, and generate the data.
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.
Understanding the Difficulty of Training Transformers
A playbook for systematically maximizing the performance of deep learning models.
Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
A curated list of awesome Machine Learning frameworks, libraries and software.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Classical equations and diagrams in machine learning
Source for https://fullstackdeeplearning.com
A collection of inspiring resources related to engineering management and tech leadership
Sample files to accompany the FT's Chart Doctor column
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Must-read papers on graph neural networks (GNN)
TFX is an end-to-end platform for deploying production ML pipelines
Software Engineering course materials from EPFL
Materials for Applied Data Analysis CS-401, fall 2020
Curated list of Python resources for data science.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
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 is a multi-type data labeling and annotation tool with standardized output format
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 entr…
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…