mihirp1998

VADER

Video Diffusion Alignment via Reward Gradients. We improve a variety of video diffusion models such as VideoCrafter, OpenSora, ModelScope and StableVideoDiffusion by finetuning them using various reward models such as HPS, PickScore, VideoMAE, VJEPA, YOLO, Aesthetics etc.

AlignProp

AlignProp uses direct reward backpropogation for the alignment of large-scale text-to-image diffusion models. Our method is 25x more sample and compute efficient than reinforcement learning methods (PPO) for finetuning Stable Diffusion

Diffusion-TTA

Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.

Slot-TTA

Slot-TTA shows that test-time adaptation using slot-centric models can improve image segmentation on out-of-distribution examples.

Add-it

Implementation of Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models

DALLE-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Depth-Adaptive-Visual-Tracking-tf

This is an unofficial implementation of the Paper "Depth-Adaptive Computational Policies for Efficient Visual Tracking" By Chris Ying, Katerina Fragkiadaki

diffusers_addit

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

DiT

grok

IsaacGymEnvs

Isaac Gym Reinforcement Learning Environments

Maskgit-pytorch

multiobjective_symbolic_regression

This is a Python library that implements a Multi-objective Symbolic Regression algorithm. It can be used as a Machine Learning algorithm to create predictive models in the form of mathematical expressions.

paper-md

project_template

pymunk

Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python

retrieval-latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

rlbench

RLBench-1

A large-scale benchmark and learning environment.

SlotCon

(NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping

time-change

tmp

tmp1

tmp3

tmp_images

toy-diffusion

A toy implementation of a diffusion model for low-dimensional data

transformers_source

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

trl_source

Train transformer language models with reinforcement learning.

vids