saitamandd

AutoSpeech

[Preprint] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang

DeepQA

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

DeepSpeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

deepvoice3

Tensorflow Implementation of Deep Voice 3

DSA171-A02

Assignment 02 of Data Structure and Algorithms course [171]

DSA172A01

DSA172A02

Assignment 02 for DSA172

gantts

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

nv-wavenet

Reference implementation of real-time autoregressive wavenet inference

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

saitamandd/AutoSpeech

[Preprint] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang

saitamandd/AI4Animation

Bringing Characters to Life with Computer Brains in Unity

saitamandd/AiFDepthNet

Official Pytorch implementation of ICCV 2021 2020 paper "Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision"

saitamandd/awesome-rl

Reinforcement learning resources curated

saitamandd/blur-kernel-space-exploring

Exploring Image Deblurring via Blur Kernel Space (CVPR'21)

saitamandd/camera_calibration

Accurate geometric camera calibration with generic camera models

saitamandd/clearbuds

Clearbuds machine learning repository

saitamandd/CMPC-Refseg

Code for Referring Image Segmentation via Cross-Modal Progressive Comprehension, CVPR2020.

saitamandd/DPT

Dense Prediction Transformers

saitamandd/DSA171-A01

DSA171-Assignment01

saitamandd/Fruit-API

A Universal Deep Reinforcement Learning Framework

saitamandd/Meta-GMVAE

saitamandd/meta-transfer-learning

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

saitamandd/ml-mdm

Train high-quality text-to-image diffusion models in a data & compute efficient manner

saitamandd/mmediting

MMEditing is a low-level vision toolbox based on PyTorch, supporting super-resolution, inpainting, matting, video interpolation, etc.

saitamandd/monodepth2

[ICCV 2019] Monocular depth estimation from a single image

saitamandd/ObstructionRemoval

[CVPR 2020] Learning to See Through Obstructions

saitamandd/OpenPrompt

An Open-Source Framework for Prompt-Learning.

saitamandd/PAConv

(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

saitamandd/PhotorealismEnhancement

Code & Data for Enhancing Photorealism Enhancement

saitamandd/Reinforcement-Learning-1

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

saitamandd/rmd

Revisiting Self-Supervised Monocular Depth Estimation

saitamandd/SC-SfMLearner-Release

Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)

saitamandd/SharinGAN

Official repo for the work titled "SharinGAN: Combining Synthetic and Real Data for Unsupervised GeometryEstimation"

saitamandd/smoothquant

[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

saitamandd/Thin-Plate-Spline-Motion-Model

[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.

saitamandd/Vim

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

saitamandd/ViMs-Dataset

saitamandd/vision-nerf

Official PyTorch Implementation of paper "Vision Transformer for NeRF-Based View Synthesis from a Single Input Image", WACV 2023.

saitamandd/vista

Data-driven simulation for training and evaluating full-scale autonomous vehicles.