deep-learning

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

PyTorch Code for Energy-Based Transformers paper -- generalizable reasoning and scalable learning

Generic template to bootstrap your PyTorch project.

Active Learning for Text Classification in Python

Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch

A multi-model machine learning feature embedding database

Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]

For automating the creation of large batches of AI-generated artwork locally.

⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.

A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.

This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"

Official implementation for "Blended Diffusion for Text-driven Editing of Natural Images" [CVPR 2022]

The official implementation of Self-Play Preference Optimization (SPPO)

Implementation of π₀, the robotic foundation model architecture proposed by Physical Intelligence

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine

A curated list of awesome AGI frameworks, software and resources

Port of MiniGPT4 in C++ (4bit, 5bit, 6bit, 8bit, 16bit CPU inference with GGML)

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

Flame is an open-source multimodal AI system designed to translate UI design mockups into high-quality React code. It leverages vision-language modeling, automated data synthesis, and structured training workflows to bridge the gap between design and front-end development.