A latent text-to-image diffusion model

Examples and guides for using the OpenAI API

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

QLoRA: Efficient Finetuning of Quantized LLMs

Code release for NeRF (Neural Radiance Fields)

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Reference models and tools for Cloud TPUs.

A Bulletproof Way to Generate Structured JSON from Language Models

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small langua…

A small package to create visualizations of PyTorch execution graphs

Optimized Stable Diffusion modified to run on lower GPU VRAM

A clear, concise, simple yet powerful and efficient API for deep learning.

Deep Reinforcement Learning: Zero to Hero!

Simple UI for LLM Model Finetuning

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

Measures the latency between CPU cores

Sionna: An Open-Source Library for Research on Communication Systems

VOLO: Vision Outlooker for Visual Recognition

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Pape…

Image Segmentation and Object Detection in Pytorch

Quantized Neural Networks (QNNs) on PYNQ

Python on Zynq FPGA for Convolutional Neural Networks

Training and experimentation code used for "Stacked Hourglass Networks for Human Pose Estimation"

Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/

Finetune a LLM to speak like you based on your WhatsApp Conversations

Getting Started with Xilinx ML Suite

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)