Explore21

Action-Recognition-on-UCF101-video-dataset-using-Resnet-101-and-Lstm-in-Keras.

algorithmic-efficiency

MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.

Algorithms-for-Optimization-Python

Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Tim A. Wheeler

asa

Code for paper "Adversarial Support Alignment"

Autodiff-Puzzles

awesome-virtual-try-on

A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

B_321Nur

B_An-Adaptive-and-Momental-Bound-Method-for-Stochastic-Learning_Keras

B_Axiom_Grad-CAM

Layer_visualization_keras_Unet3

Explore21/algorithmic-efficiency

MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.

Explore21/Autodiff-Puzzles

Explore21/awesome-virtual-try-on

A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

Explore21/B_profile_me

Explore21/cross-image-attention

Officail Implementation for "Cross-Image Attention for Zero-Shot Appearance Transfer"

Explore21/diffseg

DiffSeg is an unsupervised zero-shot segmentation method using attention information from a stable-diffusion model. This repo implements the main DiffSeg algorithm and additionally includes an experimental feature to add semantic labels to the masks based on a generated caption.

Explore21/DIS

This is the repo for our new project Highly Accurate Dichotomous Image Segmentation

Explore21/dog

DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule

Explore21/EMP-SSL

This repository contains the implementation for the paper "EMP-SSL: Towards Self-Supervised Learning in One Training Epoch."

Explore21/explore_forward_forward

Explore Geoffrey Hinton's Forward Forward algorithm for training neutral networks

Explore21/GPU-Puzzles

Solve puzzles. Learn CUDA.

Explore21/IC-Light

More relighting!

Explore21/langchain-chat-with-documents

Chat with documents (pdf, docx, txt) using ChatGPT and Langchain

Explore21/LLM-Training-Puzzles

What would you do with 1000 H100s...

Explore21/lora

Using Low-rank adaptation to quickly fine-tune diffusion models.

Explore21/multimodal-maestro

Effective prompting for Large Multimodal Models like GPT-4 Vision or LLaVA. 🔥

Explore21/notebooks

Google Colab notebooks

Explore21/Null-toon.github.io

Explore21/OpenVoice

Instant voice cloning by MyShell.

Explore21/Pyramid-Flow

Code of Pyramidal Flow Matching for Efficient Video Generative Modeling

Explore21/Rab

Explore21/stable-diffusion-tensorflow

Stable Diffusion in TensorFlow / Keras

Explore21/supervision

We write your reusable computer vision tools. 💜

Explore21/Tensor-Puzzles

Solve puzzles. Improve your pytorch.

Explore21/text2cinemagraph

Official Pytorch implementation of Text2Cinemagraph: Synthesizing Artistic Cinemagraphs from Text

Explore21/TooNull

Explore21/Track-Anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

Explore21/UnSAM

Code release for "Segment Anything without Supervision"

Explore21/VideoMAE

[NeurIPS'22] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Explore21/vit-cls_emb

Accompanying code for "Analyzing Vision Tranformers in Class Embedding Space" (NeurIPS '23)