Anuj Dutt's starred repositories
openai-cookbook
Examples and guides for using the OpenAI API
google-research
Google Research
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
generative-models
Generative Models by Stability AI
Grounded-Segment-Anything
Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
turicreate
Turi Create simplifies the development of custom machine learning models.
imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
musiclm-pytorch
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch
machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
audiolm-pytorch
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
audio-diffusion-pytorch
Audio generation using diffusion models, in PyTorch.
keras-yolo2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
deep-learning-project-template
Pytorch Lightning code guideline for conferences
EfficientFormer
EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
medical-chatgpt
Implementation of ChatGPT, but tailored towards primary care medicine, with the reward being able to collect patient histories in a thorough and efficient manner and come up with a reasonable differential diagnosis
recurrent-interface-network-pytorch
Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in Pytorch
faster-pytorch-blog
Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy
diode-devkit
DIODE Development Toolkit
equiformer-diffusion
Implementation of Denoising Diffusion for protein design, but using the new Equiformer (successor to SE3 Transformers) with some additional improvements
deepvision
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRF, SegFormer, MixTransformer, (planned...) DeepLabV3+, ConvNeXtV2, YOLO, etc.