SurrealEverything's Stars
Pythagora-io/gpt-pilot
The first real AI developer
cloneofsimo/minSDXL
Huggingface-compatible SDXL Unet implementation that is readily hackable
yoheinakajima/babyagi
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
xplip/pixel
Research code for pixel-based encoders of language (PIXEL)
bigscience-workshop/petals
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
NVIDIA/TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
nateraw/stable-diffusion-videos
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
ashawkey/stable-dreamfusion
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
LambdaLabsML/examples
Deep Learning Examples
Sygil-Dev/stable-diffusion
cosmaadrian/gaitformer
GaitFormer Official Codebase for the paper "Learning Gait Representations with Noisy Multi-Task Learning"
CompVis/stable-diffusion
A latent text-to-image diffusion model
NVIDIAGameWorks/kaolin-wisp
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
awesome-NeRF/awesome-NeRF
A curated list of awesome neural radiance fields papers
jina-ai/dalle-flow
🌊 A Human-in-the-Loop workflow for creating HD images from text
dumitrescustefan/Romanian-Transformers
This repo is the home of Romanian Transformers.
HyperGAN/HyperGAN
Composable GAN framework with api and user interface
dorarad/gansformer
Generative Adversarial Transformers
lucidrains/perceiver-pytorch
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
dandelin/Dynamic-memory-networks-plus-Pytorch
Implementation of Dynamic memory networks plus in Pytorch
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
google-research/text-to-text-transfer-transformer
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
Tony607/efficientnet_keras_transfer_learning
Transfer Learning with EfficientNet in Keras
dwmkerr/hacker-laws
💻📖 Laws, Theories, Principles and Patterns that developers will find useful. #hackerlaws