Ankit Shah's Projects
Baseline of DCASE 2020 task 4
Collection of DCASE related datasets
A collection of utilities for Detection and Classification of Acoustic Scenes and Events
NeurIPS 2020, Debiased Contrastive Learning
Implementation for <Decoupled Networks> in CVPR'18.
The implementation of DeBERTa
An implementation of the Debug Adapter Protocol for Python
DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Pytorch implements Deep Clustering: Discriminative Embeddings For Segmentation And Separation
Deep Drug Coder: A TensorFlow2.0 heteroencoder for molecular encoding and de novo generation
The project is an official implement of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Repo for the Deep Learning Nanodegree Foundations program.
Deep Learning Specialization by Andrew Ng on Coursera.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Keras code and weights files for popular deep learning models.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Using convolutional deep belief nets to learn natural scene representations
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Code repository for Deep Learning with Keras published by Packt
Deep learning workshop materials
Deep Learning experiments for audio classification
Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym
Hands-on Deep Reinforcement Learning, published by Packt
Deep neural networks for voice conversion (voice style transfer) in Tensorflow
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Implements the unsupervised pre-training of convolutional neural networks
DeepFaceLab is the leading software for creating deepfakes.