Stars
[CVPR 2024 Highlight] Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer
A list of awesome compiler projects and papers for tensor computation and deep learning.
Code for the paper "On the Expressivity Role of LayerNorm in Transformers' Attention" (Findings of ACL'2023)
This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.
One Click Python util to build all Revanced apps.
Automated DNN generation for fuzz testing and more
[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8…
Research and development for optimizing transformers
ENC: A fast network compression platform - Caffe Implementation
Export/Backup Spotify playlists using the Web API
Deskreen turns any device with a web browser into a secondary screen for your computer. ⭐️ Star to support our work!
Google SafetyNet attestation workarounds for Magisk
Port of the double tap on back of device feature from Android 12 to any Android 7.0+ device
PyTorch re-implementation of YOLOv4 architecture
End-to-End Object Detection with Transformers
Learning to See in the Dark. CVPR 2018
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
Visualizer for neural network, deep learning and machine learning models
A curated list of neural network pruning resources.
Winograd minimal convolution algorithm generator for convolutional neural networks.
Summary, Code for Deep Neural Network Quantization