deep-learning

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

🏆 A ranked gallery of awesome streamlit apps built by the community

Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

This repository is the official implementation of Disentangling Writer and Character Styles for Handwriting Generation (CVPR 2023)

MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.

Pytorch implementation of Transfusion, "Predict the Next Token and Diffuse Images with One Multi-Modal Model", from MetaAI

An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.

Tensors, for human consumption

An Open-sourced Knowledgable Large Language Model Framework.

RL implementations

Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch

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[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

Unsupervised time series anomaly detection library

Open-source toolbox for visual fashion analysis based on PyTorch

A curated list of articles that cover the software engineering best practices for building machine learning applications.

AI foundations for software engineers.

A primitive library for neural network

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

Using Diffusion Models to Segment/Reconstruct Organs from Medical Images [AAAI Most influential Paper]

Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition

Real-time Facial Emotion Detection using deep learning

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

[ICASSP 2024] 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching

Realtime human head pose estimation with ONNXRuntime and OpenCV.

Low-Level Programming Roadmap and Resources