Kien Vu's repositories
DRL-wireless-networks
Implementation of deep reinforcement learning for optimizing the beams and predicting the blockage events
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
adaptiveFS
Adaptive feature selection using reinforcement learning
StableDiffussion
course.fast.ai Lesson 9: Deep Learning Foundations to Stable Diffusion, 2022
predicting-battery-lifetime
Predicting battery lifetime. cs229 final project, Fall 2018
sionna
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
Atari
Persistent advantage learning dueling double DQN for the Arcade Learning Environment
automl
Google Brain AutoML
CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
Cyclic-Voltammetry-Simulator
A simple cyclic voltammetry simulator, built as a MATLAB app. Based on Appendix B in Bard & Faulkner.
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
efficient-object-detection-model-on-PyTorch
[FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Designed deformable convolution.
first-cycle-SEI-on-carbon-black
Figures for paper on first cycle SEI growth on carbon black
haq-release
[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
models
Models and examples built with TensorFlow
Neural-Net-with-Financial-Time-Series-Data
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
PyHessian
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
PySyft
A library for answering questions using data you cannot see
pytorch-image-classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
qonnx-Representing-Arbitrary-Precision-Quantized-Neural-Networks
Representing Arbitrary-Precision Quantized Neural Networks
SCTP_NKE_ElCapitan
A version of the SCTP NKE running on Mac OS X 10.11 (El Capitan)
smoothquant
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
tpu
Reference models and tools for Cloud TPUs.
vision
Datasets, Transforms and Models specific to Computer Vision