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Thiya's Projects

ctc-segmentation icon ctc-segmentation

Segment an audio file and obtain utterance alignments. (Python package)

ctfidf icon ctfidf

Creating class-based TF-IDF matrices

curriculum-labeling icon curriculum-labeling

[AAAI 21] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning

customer_segmentation icon customer_segmentation

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

cvaejets icon cvaejets

Conditional Variational Auto-Encoder with Jointly Training FastSpeech2(+Conformer) and HiFi-GAN for End to End Text to Speech

cvat icon cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

cvpr2022-dagan icon cvpr2022-dagan

Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation

cvprojects icon cvprojects

computer vision projects | 计算机视觉等好玩的AI项目

cycle-diffusion icon cycle-diffusion

Code for "Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance"

d-vqa icon d-vqa

PyTorch implementation of "Debiased Visual Question Answering from Feature and Sample Perspectives" (NeurIPS 2021)

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

d2l-torch icon d2l-torch

Learning PyTorch through the D2L book. A series of notebooks for the same

d3rlpy icon d3rlpy

An offline deep reinforcement learning library

da-transformer icon da-transformer

Official Implementation for the ICML2022 paper "Directed Acyclic Transformer for Non-Autoregressive Machine Translation"

daam icon daam

Diffusion attentive attribution maps for interpreting Stable Diffusion.

dabl icon dabl

Data Analysis Baseline Library

dabs icon dabs

A Domain-Agnostic Benchmark for Self-Supervised Learning

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